Συνέδρια

Kourouthanassis, P., Bardaki, C., Sourvinos, A., Karyotis, V., & Mylonas, P. (2023). Platform Architecture and Functionality for Efficient and Intelligent Logistics. In . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMAP59435.2023.10255183

Nikopoulou, M., Chasapi, P., Kourouthanassis, P., & Pateli, A. (2023). Digital Technology Implementation in the Hospitality Industry and Hotel Star Rating: Does It Matter? Evidence from Greece. In . https://doi.org/10.1109/IISA59645.2023.10345942

Kakkavas, G., Diamanti, M., Nyarko, K. N., Gabriel, M., Karyotis, V., Mosner, K., & Papavassiliou, S. (2022). Realistic Field Trial Evaluation of a Tele-operated Support Service for Remote Driving over 5G. In (pp. 58-63). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCN57023.2022.10051034

@conference{Kakkavas202258,

title = {Realistic Field Trial Evaluation of a Tele-operated Support Service for Remote Driving over 5G},

author = {G. Kakkavas and M. Diamanti and K. Nseboah Nyarko and M. Gabriel and V. Karyotis and K. Mosner and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150026185&doi=10.1109%2fCSCN57023.2022.10051034&partnerID=40&md5=59fc87d2140bee67e8a0dff69646d92d},

doi = {10.1109/CSCN57023.2022.10051034},

isbn = {9781665476218},

year  = {2022},

date = {2022-01-01},

journal = {2022 IEEE Conference on Standards for Communications and Networking, CSCN 2022},

pages = {58-63},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In this paper, we focus on the development and realistic field trial evaluation of a Tele-operated Support (TeSo) service for remote driving over 5G mobile communications. The presented prototype was created within the context of the transport vertical of the "5G HEalth, AquacultuRe and Transport (5G-HEART)"5G PPP Phase 3 project and was meti culously tested and evaluated in several realistic test cases over a commercial 5G Non-Standalone (NSA) deployment. A vehicle equipped with appropriate sensors and actuators was actively controlled from a distance of 36 km, exchanging sensor data and video streams in the uplink and vehicle-control commands in the downlink with the remote operations center. This work is among the first experimentally-driven quantitative analyses of such an application with a real pilot using an actual vehicle. Our objective was to validate the feasibility of the proposed TeSo service by evaluating relevant performance metrics, such as latency, jitter, throughput, and loss rate. Moreover, our extensive testing aimed to identify salient features and emerging challenges from the prototype, which can aid in a two-fold manner: first, paving the way for the eventual commercialization of the service, and second, guiding standardization effort for a relevant emerging market in the near future. © 2022 IEEE.},

note = {cited By 1; Conference of 2022 IEEE Conference on Standards for Communications and Networking, CSCN 2022 ; Conference Date: 28 November 2022 Through 30 November 2022; Conference Code:186982},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Karyotis, V., Stai, E., Kourouthanasis, P., & Mylonas, P. (2022). A Framework for a Holistic Information System for Small-Medium Logistics Enterprises. In . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMAP56125.2022.9941923

Vitoropoulou, M., Karyotis, V., & Papavassiliou, S. (2022). On the Fair Energy Sharing in Networks with Wireless Charging-capable Devices. In (pp. 375-380). IEEE Computer Society. https://doi.org/10.1109/WiMob55322.2022.9941704

@conference{Vitoropoulou2022375,

title = {On the Fair Energy Sharing in Networks with Wireless Charging-capable Devices},

author = {M. Vitoropoulou and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142721925&doi=10.1109%2fWiMob55322.2022.9941704&partnerID=40&md5=455b20e124f40d5cbe8d019cc7744863},

doi = {10.1109/WiMob55322.2022.9941704},

issn = {21619646},

year  = {2022},

date = {2022-01-01},

journal = {International Conference on Wireless and Mobile Computing, Networking and Communications},

volume = {2022-October},

pages = {375-380},

publisher = {IEEE Computer Society},

abstract = {The emerging technology of Wireless Power Trans-fer (WPT) has enabled mobile devices to replenish their batteries and increase their lifetime by exchanging energy with other devices in vicinity. In this paper, we study the problem of peer-to-peer WPT in a network of battery-constrained devices for which we aim to provide a fair energy allocation via mutual exchanges. In this respect, devices of lowest battery level remain functional for longer time, while respecting and satisfying a given set of wireless charging constraints. By taking into consideration the skewed energy availability in the network, as well as the loss induced by wireless energy transfer, we formulate and analyze three energy allocation schemes based on the concepts of lexicographic optimization and algorithmic graph theory, which, under different optimization criteria, aim to extend network lifetime. The performance of the proposed schemes is evaluated and compared in terms of energy efficiency and balancing quality through modeling and simulation over synthetic networks. © 2022 IEEE.},

note = {cited By 0; Conference of 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022 ; Conference Date: 10 October 2022 Through 12 October 2022; Conference Code:184410},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Kakkavas, G., Nyarko, K. N., Lahoud, C., Kuhnert, D., Kuffner, P., Gabriel, M., Ehsanfar, S., Diamanti, M., Karyotis, V., Mobner, K., & Papavassiliou, S. (2022). Teleoperated Support for Remote Driving over 5G Mobile Communications. In (pp. 280-285). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MeditCom55741.2022.9928745

@conference{Kakkavas2022280,

title = {Teleoperated Support for Remote Driving over 5G Mobile Communications},

author = {G. Kakkavas and K. N. Nyarko and C. Lahoud and D. Kuhnert and P. Kuffner and M. Gabriel and S. Ehsanfar and M. Diamanti and V. Karyotis and K. Mobner and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142211184&doi=10.1109%2fMeditCom55741.2022.9928745&partnerID=40&md5=3e3e5e2f323069f97498c9b24937265b},

doi = {10.1109/MeditCom55741.2022.9928745},

isbn = {9781665498258},

year  = {2022},

date = {2022-01-01},

journal = {2022 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022},

pages = {280-285},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The fifth-generation (5G) mobile communications promise far more capabilities than competing technologies and are expected to enable a wide range of vertical use cases. Among them, remote driving has attracted much interest from both academia and the industry, either as a stepping stone on the road to fully autonomous driving or as its complement constituting a fallback/backup service. This paper presents the design, development, and evaluation of a teleoperated support (TeSo) service over 5G mobile communications, realized within the framework of the '5G HEalth, AquacultuRe and Transport (5G-HEART)' EU project. We present an end-to-end service architecture and a complete implementation, accompanied by validation trials and performance measurements in a real pilot over a commercial 5G network deployment with an actual vehicle that has been extended to support a variety of experimentation options. With this work, we demonstrate the feasibility of the proposed TeSo service, and we quantify various performance metrics of interest, such as latency, jitter, throughput, and loss rate for longer-term reference use. © 2022 IEEE.},

note = {cited By 4; Conference of 2nd IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022 ; Conference Date: 5 September 2022 Through 8 September 2022; Conference Code:183951},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Nikiforos, M. N., Deliveri, K., Kermanidis, K. L., & Pateli, A. (2022). Machine Learning on Wikipedia Text for the Automatic Identification of Vocational Domains of Significance for Displaced Communities. In . https://doi.org/10.1109/SMAP56125.2022.9941803

Kakkavas, G., Kalntis, M., Karyotis, V., & Papavassiliou, S. (2021). Future Network Traffic Matrix Synthesis and Estimation Based on Deep Generative Models. In . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCCN52240.2021.9522222

@conference{Kakkavas2021,

title = {Future Network Traffic Matrix Synthesis and Estimation Based on Deep Generative Models},

author = {G. Kakkavas and M. Kalntis and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114962425&doi=10.1109%2fICCCN52240.2021.9522222&partnerID=40&md5=b55537afb9ced698d9c0012a1d046d67},

doi = {10.1109/ICCCN52240.2021.9522222},

issn = {10952055},

year  = {2021},

date = {2021-01-01},

journal = {Proceedings - International Conference on Computer Communications and Networks, ICCCN},

volume = {2021-July},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Traffic matrices (TMs) contain information that is essential for network management, traffic engineering, and anomaly detection. However, constructing a TM through direct traffic measurements has a high administrative and computational cost. A more feasible approach is to estimate the TM from the easily obtainable link load measurements. In this paper, we address the issue of traffic matrix estimation (TME) from link loads using a deep generative model - namely, a variational autoencoder (VAE) - to solve the respective ill-posed inverse problem. In particular, we train the VAE with historical data (previously observed TMs) and we leverage the trained decoder to transform TME into a minimization problem in the latent space, which in turn can be solved by employing a gradient-based optimizer. Furthermore, the trained decoder can be used for traffic matrix synthesis, i.e., for generating synthetic TM examples that have 'similar' properties to the samples of the training set. Finally, we explore the incremental optimization of the sequence of objectives constructed from the sequence of decoders that we obtain at different stages of the VAE training. The performance of the proposed methods is evaluated using a publicly available dataset of actual traffic matrices recorded in a real backbone network. © 2021 IEEE.},

note = {cited By 9; Conference of 30th International Conference on Computer Communications and Networks, ICCCN 2021 ; Conference Date: 19 July 2021 Through 22 July 2021; Conference Code:171515},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Kakkavas, G., Diamanti, M., Gabriel, M., Lahoud, C., Akula, P., Karyotis, V., Mosner, K., & Papavassiliou, S. (2021). Demo Proposal: Tele-Operated Support over 4G/5G Mobile Communications. In (pp. 466-467). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MeditCom49071.2021.9647643

Spatharakis, D., Avgeris, M., Kakkavas, G., Papadakis-Vlachopapadopoulos, K., Dimolitsas, I., Dechouniotis, D., Karyotis, V., & Papavassiliou, S. (2021). Industrial Robotics Experimentation over Federated Next Generation Internet Testbeds. In (pp. 464-465). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MeditCom49071.2021.9647524

Krommyda, M., Tsitseklis, K., Kantere, V., Karyotis, V., & Papavassiliou, S. (2021). Visualizing and exploring big datasets based on semantic community detection. In Y., Z. D. V. Y. V. (Ed.), (pp. 678-681). OpenProceedings.org. https://doi.org/10.5441/002/edbt.2021.82

Nikiforos, M. N., Malakopoulou, M., Stylidou, A., Alvanou, A. G., Karyotis, V., & Kourouthanassis, P. (2020). Enhancing Collaborative Filtering Recommendations for Web-based Learning Platforms with Genetic Algorithms. In . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMAP49528.2020.9248472

@conference{Nikiforos2020,

title = {Enhancing Collaborative Filtering Recommendations for Web-based Learning Platforms with Genetic Algorithms},

author = {M. N. Nikiforos and M. Malakopoulou and A. Stylidou and A. -G. Alvanou and V. Karyotis and P. Kourouthanassis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097598439&doi=10.1109%2fSMAP49528.2020.9248472&partnerID=40&md5=e8ab00020bbab229e12e04a952b494b2},

doi = {10.1109/SMAP49528.2020.9248472},

isbn = {9781728159195},

year  = {2020},

date = {2020-01-01},

journal = {SMAP 2020 - 15th International Workshop on Semantic and Social Media Adaptation and Personalization},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Web-based learning platforms are now offering a considerable amount of training options, exhibiting great variability, similar to the one encountered by a potential customer in electronic shops. To mitigate this, efficient and effective recommendations engines are needed, capable of satisfying the specific needs of each user, while achieving the best possible promotion of available onlinetraining. This paper discusses the design of a potential generic architecture for online education recommender systems, specifically targeted for promoting online courses and web-based learning material. From an algorithmic perspective, the system relies on item-based and user-based collaborativefiltering approaches. It extends this approach with a genetic algorithm, thus increasing its potential impact. Overall, the paper paves the ground for the specification of generic principles governing the design of personalized online education platforms as well as identifying metrics for evaluating their performance. © 2020 IEEE.},

note = {cited By 3; Conference of 15th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2020 ; Conference Date: 29 October 2020 Through 30 October 2020; Conference Code:164932},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Tsitseklis, K., Kakkavas, G., Karyotis, V., & Papavassiliou, S. (2019). A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks. In K., O. S. T. H.-P. A. (Ed.), (pp. 185-192). IEEE Computer Society. https://doi.org/10.1109/LCN44214.2019.8990725

@conference{Tsitseklis2019185,

title = {A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks},

author = {K. Tsitseklis and G. Kakkavas and V. Karyotis and S. Papavassiliou},

editor = {Oteafy S. Tan H.-P. Andersson K.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080939926&doi=10.1109%2fLCN44214.2019.8990725&partnerID=40&md5=5ece1109bea717561dba60bfdc872500},

doi = {10.1109/LCN44214.2019.8990725},

isbn = {9781728110288},

year  = {2019},

date = {2019-01-01},

journal = {Proceedings - Conference on Local Computer Networks, LCN},

volume = {2019-October},

pages = {185-192},

publisher = {IEEE Computer Society},

abstract = {In this paper, we focus on the development and realistic evaluation of a resource allocation approach for cognitive radios implemented with Software Defined Radio (SDR) technology over two testbeds of the ORCA federation. Our cross-layer approach is based on a Markov Random Field (MRF) framework realizing a distributed computation among the secondary nodes of cognitive radios. This is the first implementation and real experimental evaluation of such a mechanism. New SDR functions for implementing various cognitive radio functionalities, such as spectrum sensing, distributed node synchronization, etc., were developed in GNU Radio from scratch. We demonstrated the feasibility of the MRF-based resource allocation approach and quantified various performance metrics of interest, such as allocation fairness and collision percentage. Through this development, several design principles of broader interest for SDR emerged (e.g., for spectrum sensing and collision detection design), while salient features of our framework requiring further research and development were discovered (e.g., need for parallel implementation). © 2019 IEEE.},

note = {cited By 0; Conference of 44th Annual IEEE Conference on Local Computer Networks, LCN 2019 ; Conference Date: 14 October 2019 Through 17 October 2019; Conference Code:157724},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Tsanikidis, C., Vitoropoulou, M., Karyotis, V., & Papavassiliou, S. (2018). On the Energy-Efficient Coverage of Network Regions with Convex Opaque Obstacles. In (pp. 135-141). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2018.8580878

@conference{Tsanikidis2018135,

title = {On the Energy-Efficient Coverage of Network Regions with Convex Opaque Obstacles},

author = {C. Tsanikidis and M. Vitoropoulou and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060539317&doi=10.1109%2fPIMRC.2018.8580878&partnerID=40&md5=d3a99b40001d185764422a49efa7cf7e},

doi = {10.1109/PIMRC.2018.8580878},

isbn = {9781538660096},

year  = {2018},

date = {2018-01-01},

journal = {IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC},

volume = {2018-September},

pages = {135-141},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In this paper we propose a topology control based approach for addressing the coverage problem in a planar region containing convex opaque obstacles. Such environments represent typical cases of realistic wireless sensor networks and Internet-of-Things deployments. Assuming the devices have the capability to modify their sensing ranges, our goal is to maximize the area covered by randomly dispersed sensors, while reducing their sensing energy consumption as much as possible despite the presence of convex obstacles. To address the former, we introduce a relevant framework capitalizing on the notion of the visibility polygon and propose two algorithms, a centralized (and a randomized version thereof) and a distributed one, which aim to maximize the ratio of covered area to consumed energy, while ensuring a minimum coverage percentage. Through analysis and simulation we demonstrate that the proposed schemes achieve energy efficient coverage, outperforming the plain assignment of maximum sensing range across the network. © 2018 IEEE.},

note = {cited By 0; Conference of 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 ; Conference Date: 9 September 2018 Through 12 September 2018; Conference Code:143803},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Karyotis, V., Tsitseklis, K., Sotiropoulos, K., & Papavassiliou, S. (2018). Enhancing Community Detection for Big Sensor Data Clustering via Hyperbolic Network Embedding. In (pp. 266-271). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2018.8480134

@conference{Karyotis2018266,

title = {Enhancing Community Detection for Big Sensor Data Clustering via Hyperbolic Network Embedding},

author = {V. Karyotis and K. Tsitseklis and K. Sotiropoulos and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056458909&doi=10.1109%2fPERCOMW.2018.8480134&partnerID=40&md5=082f7ba01a225e8ccef49047803f02bd},

doi = {10.1109/PERCOMW.2018.8480134},

isbn = {9781538632277},

year  = {2018},

date = {2018-01-01},

journal = {2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018},

pages = {266-271},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In this paper we present a novel big data clustering approach for measurements obtained from pervasive sensor networks. To address the potential very large scale of such datasets, we map the problem of data clustering to a community detection one. Datasets are cast in the form of graphs, representing the relations among individual observations and data clustering is mapped to node clustering (community detection) in the data graph. We propose a novel computational approach for enhancing the traditional Girvan-Newman (GN) community detection algorithm via hyperbolic network embedding. The data dependency graph is embedded in the hyperbolic space via Rigel embedding, making it possible to compute more efficiently the hyperbolic edge-betweenness centrality (HEBC) needed in the modified GN algorithm. This allows for more efficient clustering of the nodes of the data graph without significantly sacrificing accuracy. We demonstrate the efficacy of our approach with artificial network and data topologies, and real benchmark datasets. The proposed methodology can be used for efficient clustering of datasets obtained from massive pervasive smart city/building sensor networks, such as the FIESTA-IoT platform, and exploited in various applications such as lower-cost sensing. © 2018 IEEE.},

note = {cited By 1; Conference of 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 ; Conference Date: 19 March 2018 Through 23 March 2018; Conference Code:140607},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Papadis, N., Stai, E., & Karyotis, V. (2017). A path-based recommendations approach for online systems via hyperbolic network embedding. In (pp. 973-980). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCC.2017.8024652

@conference{Papadis2017973,

title = {A path-based recommendations approach for online systems via hyperbolic network embedding},

author = {N. Papadis and E. Stai and V. Karyotis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030552382&doi=10.1109%2fISCC.2017.8024652&partnerID=40&md5=e493e583b0401de9bed050de76373b57},

doi = {10.1109/ISCC.2017.8024652},

issn = {15301346},

year  = {2017},

date = {2017-01-01},

journal = {Proceedings - IEEE Symposium on Computers and Communications},

pages = {973-980},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In this paper we introduce and demonstrate new recommendation algorithms for large-scale online systems, such as e-shops and cloud services. The proposed algorithms are based on the combination of network embedding in hyperbolic space with greedy routing, exploiting properties of hyperbolic metric spaces. Contrary to the existing recommender systems that rank products in order to propose the highest ranked ones to the users, our proposed recommender system creates a progressive path of recommendations towards a final (known or inferred) target product using greedy routing over networks embedded in hyperbolic space. Thus, it prepares the user by intermediate recommendations for maximizing the chances that he/she accepts the recommendation of the target product(s). This casts the problem of locating a suitable recommendation as a path problem, where leveraging on the efficiency of greedy routing in graphs embedded in hyperbolic spaces and exploiting special network structure, if any, pays dividends. Two variants of our recommendation approach are provided, namely Hyperbolic Recommendation-Known Destination (HRKD), Hyperbolic Recommendation-Unknown Destination (HRUD), when the target product is known or unknown, respectively. We demonstrate how the proposed approach can be used for producing efficient recommendations in online systems, along with studying the impact of the several parameters involved in its performance via proper emulation of user activity over suitably defined graphs. © 2017 IEEE.},

note = {cited By 2; Conference of 2017 IEEE Symposium on Computers and Communications, ISCC 2017 ; Conference Date: 3 July 2017 Through 7 July 2017; Conference Code:130537},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Pateli, A. G., & Mikalef, P. (2017). Configurations explaining the impact of social media on innovation performance. In .

Wetering, R. V. D., Mikalef, P., & Pateli, A. (2017). A strategic alignment model for it flexibility and dynamic capabilities: Toward an assessment tool. In (pp. 1468-1485).

Mikalef, P., & Pateli, A. G. (2017). Social media for open innovation: A study of adoption determinants. In .

Wetering, R. V. D., Mikalef, P., & Pateli, A. (2017). Managing firms’ innovation capabilities through strategically aligning combinative IT and dynamic capabilities. In .

Karyotis, V., Stai, E., & Papavassiliou, S. (2016). A component-based cross-layer framework for software defined wireless networks. In M., V. V. P. G. B. (Ed.), . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NTMS.2016.7792426

Stai, E., Sotiropoulos, K., Karyotis, V., & Papavassiliou, S. (2016). Hyperbolic Traffic Load Centrality for large-scale complex communications networks. In . Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICT.2016.7500371

@conference{Stai2016,

title = {Hyperbolic Traffic Load Centrality for large-scale complex communications networks},

author = {E. Stai and K. Sotiropoulos and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979205129&doi=10.1109%2fICT.2016.7500371&partnerID=40&md5=f46ed087a57f7adf10247c593797f09b},

doi = {10.1109/ICT.2016.7500371},

isbn = {9781509019908},

year  = {2016},

date = {2016-01-01},

journal = {2016 23rd International Conference on Telecommunications, ICT 2016},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Estimating accurately important nodes for routing in modern and future networks is a key process with numerous benefits. Towards this goal, in this paper we propose Hyperbolic Traffic Load Centrality (HTLC), as a novel alternative to the Traffic Load Centrality (TLC) metric, used for ranking nodes with respect to their importance in the routing operation. HTLC is based on network embedding in hyperbolic space, while assuming paths paved by greedy routing over hyperbolic coordinates, which requires less computational effort than shortest path routing (in terms of hop distances) used for TLC. Greedy routing in hyperbolic space also yields paths with lengths very close to the shortest ones for the social networks of interest bearing the scale-free property. Through analysis and simulation, we demonstrate that HTLC requires significantly lower computational time than TLC, and despite being more suitable for greedy routing constraints over hyperbolic space, it nevertheless achieves a close approximation of TLC for networks with scale-free properties when assuming shortest path routing. Thus, it can substitute TLC when analyzing very large network topologies. © 2016 IEEE.},

note = {cited By 3; Conference of 23rd International Conference on Telecommunications, ICT 2016 ; Conference Date: 16 May 2016 Through 18 May 2016; Conference Code:122441},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Mikalef, P., Pateli, A., & Wetering, R. V. D. (2016). IT flexibility and competitive performance: The mediating role of IT-enabled dynamic capabilities. In .

Mikalef, P., Pateli, A., & Wetering, R. V. D. (2016). IT flexibility and competitive performance: The mediating role of IT-enabled dynamic capabilities. In .

Stai, E., Karyotis, V., & Papavassiliou, S. (2015). User interest dictated information diffusion over generalized networks. In (pp. 1569-1574). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCW.2015.7247403

Anifantis, E., Stai, E., Karyotis, V., & Papavassiliou, S. (2014). An MRF cross-layer resource allocation approach with back-pressure features for QoS in dynamic social and cognitive communications. In (pp. 323-328). Toronto, ON: Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFCOMW.2014.6849252

Rill, S., Adolph, S., Drescher, J., Reinel, D., Scheidt, J., Schütz, O., Wogenstein, F., Zicari, R. V., & Korfiatis, N. (2012). A phrase-based opinion list for the German language. In (pp. 305-313).

Stai, E., Karyotis, V., & Papavassiliou, S. (2012). Wireless multi-hop network topology control optimization and trade-off analysis. In . Newark, NJ. https://doi.org/10.1109/SARNOF.2012.6222762

Anifantis, E., Karyotis, V., & Papavassiliou, S. (2012). A Markov Random Field framework for channel assignment in Cognitive Radio networks. In (pp. 770-775). Lugano. https://doi.org/10.1109/PerComW.2012.6197617

Arkoulis, S., Anifantis, E., Karyotis, V., Papavassiliou, S., & Mitrou, N. (2012). Channel switching-aware optimal reconfiguration in cognitive radio networks. In . Poznan: VDE VERLAG GMBH.

Mikalef, P., Giannakos, M., & Pateli, A. (2012). Exploring the business potential of social media: An utilitarian and hedonic motivation approach. In (pp. 1-14).

Wu, P. F., Heijden, H. V. D., & Korfiatis, N. T. (2011). The influences of negativity and review quality on the helpfulness of online reviews. In (pp. 3710-3719).

Anifantis, E., Karyotis, V., & Papavassiliou, S. (2011). Time-based cross-layer adaptations in wireless cognitive radio ad hoc networks. In (pp. 1044-1049). Corfu. https://doi.org/10.1109/ISCC.2011.5983980

@conference{Anifantis20111044,

title = {Time-based cross-layer adaptations in wireless cognitive radio ad hoc networks},

author = {E. Anifantis and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052767331&doi=10.1109%2fISCC.2011.5983980&partnerID=40&md5=925f8322af534b652bdaf193a6214697},

doi = {10.1109/ISCC.2011.5983980},

issn = {15301346},

year  = {2011},

date = {2011-01-01},

journal = {Proceedings - IEEE Symposium on Computers and Communications},

pages = {1044-1049},

address = {Corfu},

abstract = {Secondary ad hoc users of Cognitive Radio networks experience constant fluctuations of their link quality due to dynamic traffic behavior of their primary network counterparts. Several cognitive-aware MAC and routing protocols have been proposed in order to counterfeit properly such spectrum variations. In this paper, we introduce a vertical time-based control mechanism in the traditional protocol stack, aiming at properly balancing the inherent trade-off between instant local adaptations at MAC layer, against slower, but more globally aware rerouting reaction mechanisms. Based on localized and independent node decisions, an optimal feedback policy is proposed in order to exploit the most appropriate protocol layer in each case and provide per link channel assignments, such that flow rate requirements are satisfied with the least cost. We use Markov theory to examine the coexistence of primary and secondary networks, while the optimal decision policy is derived via a Markov Decision Process (MDP) and linear programming. Analysis and simulations are used for performance evaluation and together they confirm that the proposed time-based cross-layer feedback strategy contributes to higher network performance regarding flow rate requirements, sensing and rerouting costs. © 2011 IEEE.},

note = {cited By 4; Conference of 16th IEEE Symposium on Computers and Communications, ISCC'11 ; Conference Date: 28 June 2011 Through 1 July 2011; Conference Code:86395},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Stai, E., Karyotis, V., & Papavassiliou, S. (2011). Enhancing trust establishment in wireless multi-hop networks via preferential attachment. In (pp. 630-635). Corfu. https://doi.org/10.1109/ISCC.2011.5983909

Chen, P. Y., Karyotis, V., Papavassiliou, S., & Chen, K. C. (2011). Topology control in multi-channel cognitive radio networks with non-uniform node arrangements. In (pp. 1033-1037). Corfu. https://doi.org/10.1109/ISCC.2011.5983978

@conference{Chen20111033,

title = {Topology control in multi-channel cognitive radio networks with non-uniform node arrangements},

author = {P. -Y. Chen and V. Karyotis and S. Papavassiliou and K. -C. Chen},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052726013&doi=10.1109%2fISCC.2011.5983978&partnerID=40&md5=41185dafcd379a147857d49251d7d3fd},

doi = {10.1109/ISCC.2011.5983978},

issn = {15301346},

year  = {2011},

date = {2011-01-01},

journal = {Proceedings - IEEE Symposium on Computers and Communications},

pages = {1033-1037},

address = {Corfu},

abstract = {Cognitive Radio (CR) techniques have been developed to allow ad hoc users to communicate with each other by exploiting the licensed bands of primary systems without disturbing the entrenched users. In this work, we take current approaches one step ahead and combine Topology Control (TC) techniques with CR technology, in order to improve operation and performance, even under the stringent and non-uniform arrangements of CR networks (CRNs). We propose a novel node-degree based Topology Control approach, denoted by Enhanced Cognitive Nearest Random Neighbor (e-CNRN), for multi-channel CRNs, aiming at maintaining network connectivity and adapting to environmental changes such as primary user activity and channel conditions. Compared with TC protocols in conventional ad hoc networks, e-CNRN requires only minimal local information and is specially designed to perform under non-uniform node arrangements, rendering e-CNRN a generic and robust distributed TC approach, especially suitable for multichannel CRNs as well. In addition, we leverage e-CNRN for distributively establishing a virtual common control channel for multi-channel CRNs. Through analysis and simulations we validate that e-CNRN guarantees network connectivity, while achieving efficient power control. © 2011 IEEE.},

note = {cited By 4; Conference of 16th IEEE Symposium on Computers and Communications, ISCC'11 ; Conference Date: 28 June 2011 Through 1 July 2011; Conference Code:86395},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Arnautovic, E., Vallée, M., Rehm, S. V., Müthel, M., Mulvenna, M., Baumgarten, M., Karyotis, V., Papavassiliou, S., Hadjiantonis, A. M., & Stathis, K. (2010). Towards self-managing systems inspired by economic organizations. In (pp. 888-895). Istanbul. https://doi.org/10.1109/ICSMC.2010.5641875

@conference{Arnautovic2010888,

title = {Towards self-managing systems inspired by economic organizations},

author = {E. Arnautovic and M. Vallée and S. -V. Rehm and M. Müthel and M. Mulvenna and M. Baumgarten and V. Karyotis and S. Papavassiliou and A. M. Hadjiantonis and K. Stathis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78751548552&doi=10.1109%2fICSMC.2010.5641875&partnerID=40&md5=a4676cbb53e55eff2d82ad2aeb41bad8},

doi = {10.1109/ICSMC.2010.5641875},

issn = {1062922X},

year  = {2010},

date = {2010-01-01},

journal = {Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},

pages = {888-895},

address = {Istanbul},

abstract = {Today's self-managing systems would ideally be able to adapt themselves (their internal structure or behavior), as well as to autonomously participate in larger, self-organizing systems. Analogously, the enterprises or other socio-economic systems autonomously manage themselves - they make decisions on how to adapt their structure and behavior, and how to organize with other entities in the environment. To connect internal self-adaptive with external self-organizational behavior, an enterprise is "aware" of itself and of its environment, and acts according to this awareness. T his position paper proposes to address the challenges of a complex distributed self-managing system by making entities in such a system able to adapt themselves similarly to how companies manage themselves in socio-economic systems. To enable the knowledge transfer between these two fields, the paper proposes to utilize symbolic models which will be used by self-managing systems for knowledge representation and reasoning. This will make such systems in a way also self-aware and enable both self-adaptive and self-organizing capabilities. The paper discusses research directions to make this approach possible. ©2010 IEEE.},

note = {cited By 1; Conference of 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 ; Conference Date: 10 October 2010 Through 13 October 2010; Conference Code:83423},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Stai, E., Karyotis, V., & Papavassiliou, S. (2010). Socially-inspired topology improvements in wireless multi-hop networks. In . Capetown. https://doi.org/10.1109/ICCW.2010.5503927

Karyotis, V., Manolakos, A., & Papavassiliou, S. (2010). On topology control and non-uniform node deployment in ad hoc networks. In (pp. 522-527). Mannheim. https://doi.org/10.1109/PERCOMW.2010.5470494

@conference{Karyotis2010522,

title = {On topology control and non-uniform node deployment in ad hoc networks},

author = {V. Karyotis and A. Manolakos and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954022569&doi=10.1109%2fPERCOMW.2010.5470494&partnerID=40&md5=d8446bdab12527badd4c07caaa7da458},

doi = {10.1109/PERCOMW.2010.5470494},

isbn = {9781424466054},

year  = {2010},

date = {2010-01-01},

journal = {2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010},

pages = {522-527},

address = {Mannheim},

abstract = {Topology control has been established as an efficient technique for improving the properties of wireless multihop networks. In this paper we first analyze the impact of non-uniform node placement on the effectiveness of traditional and well established topology control approaches that preserve connectivity with high probability, thus revealing and demonstrating their inefficiency in properly maintaining connectivity in the general case. Then, we propose a randomized topology control approach that provides significant improvements in percentage connectivity guarantees under arbitrary and more realistic node deployments. The proposed approach, referred to as Nearest Random Neighbors (NRN), is compared to the KNeigh technique, one of the dominant Network layer topology control protocols. As opposed to K -Neigh, the NRN mechanism asserts acceptable network connectivity probabilities, even in cases of highly skewed node distributions, while its performance with respect to the average physical node degree remains stable and close to K-Neigh, even as the network density increases dramatically. © 2010 IEEE.},

note = {cited By 2; Conference of 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 ; Conference Date: 29 March 2010 Through 2 April 2010; Conference Code:80840},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Stai, E., Karyotis, V., & Papavassiliou, S. (2010). Enhanced service provisioning in wireless multi-hop networks via socially-driven inverse topology control. In (pp. 1378-1382). IEEE Computer Society. https://doi.org/10.1109/GLOCOMW.2010.5700164

Avlonitis, M. I., Pateli, A. G., & Morfis, I. A. (2009). A stochastic model using self-organization to explore the ICT Industry evolution. In (pp. 80-84). https://doi.org/10.1109/PCI.2009.37

Pateli, A. (2009). Building a decision tree to opt for the structural mode of service innovation alliances in high-tech sectors. In .

Karyotis, V., Kakalis, A., & Papavassiliou, S. (2009). On the tradeoff between MAC-layer and network-layer topology-controlled malware spreading schemes in ad hoc and sensor networks. In (pp. 255-261). Athens, Glyfada. https://doi.org/10.1109/SECURWARE.2009.46

@conference{Karyotis2009255,

title = {On the tradeoff between MAC-layer and network-layer topology-controlled malware spreading schemes in ad hoc and sensor networks},

author = {V. Karyotis and A. Kakalis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449478162&doi=10.1109%2fSECURWARE.2009.46&partnerID=40&md5=0552bdd5c36f3858b1ccacc9727da6c9},

doi = {10.1109/SECURWARE.2009.46},

isbn = {9780769536682},

year  = {2009},

date = {2009-01-01},

journal = {Proceedings - 2009 3rd International Conference on Emerging Security Information, Systems and Technologies, SECURWARE 2009},

pages = {255-261},

address = {Athens, Glyfada},

abstract = {Significant interest has been raised recently in wireless networks in modeling and dealing effectively with different types of attacks. In this paper, emphasis is placed on the attacker's perspective and based on a probabilistic framework we study intelligent strategies for spreading malicious software, in order to realize the potentials of such attacks. The considered attack schemes are based on the topology control capabilities of wireless nodes and may be realized either at the Network layer by using node degree related information or the MAC layer by setting attackers to sleep for energy conservation purposes. To the best of our knowledge this is the first attempt to adopt the use of sleeping schedules in order to eventually increase attack efficiency. We compare the performance of the two families of strategies using both time-independent and time-dependent attack metrics. Our evaluation analysis reveals an inherent tradeoff between the two families that depends, among others, on the idle energy consumption and the network density. © 2009 IEEE.},

note = {cited By 1; Conference of 2009 3rd International Conference on Emerging Security Information, Systems and Technologies, SECURWARE 2009 ; Conference Date: 18 June 2009 Through 23 June 2009; Conference Code:78000},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Pateli, A., Floros, A., Oikonomou, K., & Magkos, E. (2008). Corfunet: A mesh network providing wireless services at metropolitan level. In (pp. 124-128).

Kastrinogiannis, T., Karyotis, V., & Papavassiliou, S. (2008). On the problem of joint power and rate control in CDMA ad hoc networks. In (pp. 78-82). Santorini. https://doi.org/10.1109/ISWPC.2008.4556170

Kastrinogiannis, T., Karyotis, V., & Papavassiliou, S. (2008). An opportunistic combined power and rate allocation approach in CDMA ad hoc networks. In . Princeton, NJ. https://doi.org/10.1109/SARNOF.2008.4520063

Pateli, A. G., & Giaglis, G. M. (2007). The impact of value on governance decisions for IT-based alliances: Evidence from a joint venture in the wireless networks industry. In . https://doi.org/10.1109/HICSS.2007.539

Korfiatis, N., & Sicilia, M. A. (2007). Social measures and flexible navigation on online contact networks. In . https://doi.org/10.1109/FUZZY.2007.4295565

Poulos, M., Korfiatis, N., & Bokos, G. (2007). Towards the construction of a global bibliometric indicator. In (pp. 920-921).

Karyotis, V., Grammatikou, M., & Papavassiliou, S. (2007). On the asymptotic behavior of malware-propagative mobile ad hoc networks. In . Pisa. https://doi.org/10.1109/MOBHOC.2007.4428662

Karyotis, V., & Papavassiliou, S. (2007). On the malware spreading over non-propagative wireless ad hoc networks: The attacker's perspective. In (pp. 156-159). Chania, Crete Island. https://doi.org/10.1145/1298239.1298268

Karyotis, V., Papavassiliou, S., & Grammatikou, M. (2007). On the risk-based operation of mobile attacks in wireless ad hoc networks. In (pp. 1130-1135). Glasgow, Scotland. https://doi.org/10.1109/ICC.2007.192

Pateli, A. G., & Giaglis, G. M. (2006). Governance options for strategic technology alliances in value Webs. In . https://doi.org/10.1109/HICSS.2006.198

Korfiatis, N., & Constantiou, I. (2006). Socially targeted mobile services: Towards an upper level ontology of social roles for mobile environments. In .

Karyotis, V., Papavassiliou, S., & Maglaris, B. (2006). Modeling framework for the study and analysis of mobile attack propagation in wireless ad-hoc networks. In . Institute of Electrical and Electronics Engineers Inc..

@conference{Karyotis2006,

title = {Modeling framework for the study and analysis of mobile attack propagation in wireless ad-hoc networks},

author = {V. Karyotis and S. Papavassiliou and B. Maglaris},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946234997&partnerID=40&md5=d93e77cc1fd88d269d8f3741b7ab4309},

isbn = {9783800729616},

year  = {2006},

date = {2006-01-01},

journal = {12th European Wireless Conference 2006 - Enabling Technologies for Wireless Multimedia Communications, European Wireless 2006},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Independent-operating attacks in modern communication networks have become increasingly popular, affecting significantly the performance of these networks and causing major systems to fail. In this paper, we introduce and design a modeling framework that allows for the study and analysis of mobile attack propagation in wireless ad-hoc networks. Specifically, we study probabilistically the propagation of a worm in a wireless ad-hoc network, in which an energyconstrained malicious node can move freely in the deployment region of the network. The choice of a statistical approach of the problem is motivated by the dynamic characteristics of the ad-hoc topology and the stochastic nature of the worm propagation. Through modeling and simulation, we studied and evaluated the impact of various parameters associated with the operational characteristics of the mobile attack node-such as transmission radius, mobility, energy-on an outbreak spreading and the evolution of the network, and obtained an in-depth understanding of the importance of these parameters both from the network's and the attacker's perspectives.},

note = {cited By 1; Conference of 12th European Wireless Conference on Enabling Technologies for Wireless Multimedia Communications, European Wireless 2006 ; Conference Date: 2 April 2006 Through 5 April 2006; Conference Code:114330},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Karyotis, V., Papavassiliou, S., Grammatikou, M., & Maglaris, B. (2006). On the characterization and evaluation of mobile attack strategies in wireless Ad Hoc networks. In (pp. 29-34). Cagliari, Sardinia: Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCC.2006.112

Dafoulas, G. A., Pateli, A. G., & Turega, M. (2002). Business-to-employee cooperation support through online job interviews. In (pp. 286-292). https://doi.org/10.1109/DEXA.2002.1045912

Proceedings Articles

Stai, E., Karyotis, V., Kourouthanasis, P., & Mylonas, P. (2023). A Backpressure-Based Algorithm for Optimal Scheduling in Freight Management Systems. In Proceedings of the 18th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2023. Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMAP59435.2023.10255185

Karyotis, V., Stai, E., Kourouthanasis, P., & Mylonas, P. (2022). A Framework for a Holistic Information System for Small-Medium Logistics Enterprises. In 2022 17th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP) (pp. 1–6).

Filiopoulou, E., Bardaki, C., Boukouvalas, D., Nikolaidou, M., & Kourouthanassis, P. (2022). Last-Mile Delivery Options: Exploring Customer Preferences and Challenges. In 2022 17th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP) (pp. 1–6).

Nikoviotis, R., & Ringas, D. (2021). Self-care Diabetes: a diabetes self-management application based on the seven self-management areas (AADE7) of the American Association of Diabetes Educators. In 25th Pan-Hellenic Conference on Informatics (pp. 477–482).

Krommyda, M., Tsitseklis, K., Kantere, V., Karyotis, V., & Papavassiliou, S. (2021). Visualizing and Exploring Big Datasets based on Semantic Community Detection.. In EDBT (pp. 678–681).

Kakkavas, G., Kalntis, M., Karyotis, V., & Papavassiliou, S. (2021). Future Network Traffic Matrix Synthesis and Estimation Based on Deep Generative Models. In 2021 International Conference on Computer Communications and Networks (ICCCN) (pp. 1–8).

Kakkavas, G., Diamanti, M., Stamou, A., Karyotis, V., Papavassiliou, S., Bouali, F., & Moessner, K. (2021). 5G Network Requirement Analysis and Slice Dimensioning for Sustainable Vehicular Services. In 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS) (pp. 495–502).

Spatharakis, D., Avgeris, M., Kakkavas, G., Papadakis-Vlachopapadopoulos, K., Dimolitsas, I., Dechouniotis, D., Karyotis, V., & Papavassiliou, S. (2021). Industrial Robotics Experimentation over Federated Next Generation Internet Testbeds. In 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) (pp. 1–2).

Kakkavas, G., Diamanti, M., Gabriel, M., Lahoud, C., Akula, P., Karyotis, V., Mößner, K., & Papavassiliou, S. (2021). Demo Proposal: Tele-Operated Support over 4G/5G Mobile Communications. In 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) (pp. 1–2).

Vitoropoulou, M., Tsitseklis, K., Karyotis, V., & Papavassiliou, S. (2021). Caching, Recommendations and Opportunistic Offloading at the Network Edge. In 2021 17th International Conference on Mobility, Sensing and Networking (MSN) (pp. 112–119).

Vitoropoulou, M., Tsitseklis, K., Karyotis, V., & Papavassiliou, S. (2021). Caching, Recommendations and Opportunistic Offloading at the Network Edge. In (pp. 112-119). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MSN53354.2021.00031

@inproceedings{Vitoropoulou2021112,

title = {Caching, Recommendations and Opportunistic Offloading at the Network Edge},

author = {M. Vitoropoulou and K. Tsitseklis and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128784400&doi=10.1109%2fMSN53354.2021.00031&partnerID=40&md5=b2dead871ec4fdd3a1aba4ab81ae864b},

doi = {10.1109/MSN53354.2021.00031},

isbn = {9781665406680},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Proceedings - 2021 17th International Conference on Mobility, Sensing and Networking, MSN 2021},

pages = {112-119},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In this paper, we study the problem of caching at the network edge by taking into account the impact of recommendations on user content requests. We consider a heterogeneous caching network with small cells and mobile users who can offload traffic from the core network by delivering data via Device-to-Device (D2D) communication. Given the user mobility pattern, we derive for each user the expected waiting time to encounter cache-enabled devices and we propose two schemes in order to select the user equipment that will cache content and participate in the offloading. Expressing the user Quality of Experience (QoE) as a function of user-content relevance and its expected delivery delay, we formulate the problem of content placement and recommendations in caching networks as a user QoE maximization problem, which is known to be NP-hard. In order to address it, we provide two heuristic algorithms, the first focusing on user-content relevance and the second focusing on the content delivery delay. We evaluate the performance of our algorithms through simulation over synthetic datasets. The obtained results are compared with a state-of-the-art polynomial-time approximation algorithm and show that the proposed algorithms balance better the trade-off between solution quality and execution time. © 2021 IEEE.},

note = {cited By 1; Conference of 17th International Conference on Mobility, Sensing and Networking, MSN 2021 ; Conference Date: 13 December 2021 Through 15 December 2021; Conference Code:178754},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

Kakkavas, G., Diamanti, M., Stamou, A., Karyotis, V., Papavassiliou, S., Bouali, F., & Moessner, K. (2021). 5G Network Requirement Analysis and Slice Dimensioning for Sustainable Vehicular Services. In Proceedings of the 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021 (pp. 495-502). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCOSS52077.2021.00082

@inproceedings{Kakkavas2021495,

title = {5G Network Requirement Analysis and Slice Dimensioning for Sustainable Vehicular Services},

author = {G. Kakkavas and M. Diamanti and A. Stamou and V. Karyotis and S. Papavassiliou and F. Bouali and K. Moessner},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122208793&doi=10.1109%2fDCOSS52077.2021.00082&partnerID=40&md5=0ea81a9c8dbfb3624f2663245db626b7},

doi = {10.1109/DCOSS52077.2021.00082},

isbn = {9781665439299},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {Proceedings of the 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021 },

journal = {Proceedings - 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021},

pages = {495-502},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The Fifth Generation (5G) mobile communications together with software defined networking (SDN) and network function virtualization (NFV) are expected to enable a wide range of vertical use-cases. Different vertical industries with diverse service streams and sets of requirements should leverage the advanced capabilities of 5G networks through a single infrastructure to support the desired Quality of Service/Experience (QoS/QoE). In this paper, we focus on the Transport vertical and we study four novel service categories, each one consisting of one or more related scenarios, within the framework of the 5G Health, Aquaculture and Transport (5G-HEART) 5G PPP Phase 3 project. The first pass analysis of the envisioned vehicular services and their underlying operation, combined with the mapping of the mostly high-level functional user requirements to quantitative network Key Performance Indicators (KPIs) via a thorough and concise methodology, is essential for future testing with real pilots. Furthermore, our work paves the way towards efficient network slicing by exploring the interrelations between the identified KPIs and the respective target values that must be simultaneously satisfied over the same physical network infrastructure, in the context of the three 5G generic services. © 2021 IEEE.},

note = {cited By 7; Conference of ; Conference Date: 14 July 2021 Through 16 July 2021; Conference Code:174301},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

Vassilopoulou, S., Sakkas, V., Batsos, J., Sakkopoulos, E., & Ringas, D. (2020). Geo-Environmental Information Management Software for Automated Terrain and Ground Deformation Analysis. In 2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1–8).

Chloros, D., & Ringas, D. (2020). Fluspot: Seasonal flu tracking app exploiting wearable IoT device for symptoms monitoring. In 2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1–7).

Nikiforos, M. N., Malakopoulou, M., Stylidou, A., Alvanou, A.-G., Karyotis, V., & Kourouthanassis, P. (2020). Enhancing Collaborative Filtering Recommendations for Web-based Learning Platforms with Genetic Algorithms. In 2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization (SMA (pp. 1–6).

Kakkavas, G., Karyotis, V., & Papavassiliou, S. (2020). A Distance-based Agglomerative Clustering Algorithm for Multicast Network Tomography. In ICC 2020-2020 IEEE International Conference on Communications (ICC) (pp. 1–7).

Vitoropoulou, M., Tsitseklis, K., Karakoulias, A., Karyotis, V., & Papavassiliou, S. (2020). CAUSE: Caching Aided by USer Equipment. In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) (pp. 713–721).

Magioladitis, M., Ringas, D., & Christopoulou, E. (2019). Promoting cultural heritage via gamification and augmented reality. In International Conference, Digital Culture & AudioVisual Challenges.

Tsitseklis, K., Kakkavas, G., Karyotis, V., & Papavassiliou, S. (2019). A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks. In 2019 IEEE 44th Conference on Local Computer Networks (LCN) (pp. 185–192).

Karyotis, V., Tsitseklis, K., Sotiropoulos, K., & Papavassiliou, S. (2018). Enhancing Community Detection for Big Sensor Data Clustering via Hyperbolic Network Embedding. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 266–271).

Tsanikidis, C., Vitoropoulou, M., Karyotis, V., & Papavassiliou, S. (2018). On the Energy-Efficient Coverage of Network Regions with Convex Opaque Obstacles. In 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 135–141).

Karyotis, V., Avgeris, M., Michaloliakos, M., Tsagkaris, K., & Papavassiliou, S. (2018). Utility decisions for QoE-QoS driven applications in practical mobile broadband networks. In 2018 Global Information Infrastructure and Networking Symposium (GIIS) (pp. 1–5).

Pappas, I. O., Papavlasopoulou, S., Kourouthanassis, P. E., Mikalef, P., & Giannakos, M. N. (2017). Motivations and emotions in social media: explaining users’ satisfaction with FsQCA. In Digital Nations--Smart Cities, Innovation, and Sustainability: 16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017, Delhi, India, November 21--23, 2017, Proceedings 16 (pp. 375–387).

Russo, F. (2017). Performance evaluation of non-local means (NLM) algorithms for grayscale image denoising. In 2017 European Conference on Electrical Engineering and Computer Science (EECS) (pp. 204–210).

Papadis, N., Stai, E., & Karyotis, V. (2017). A path-based recommendations approach for online systems via hyperbolic network embedding. In 2017 IEEE Symposium on Computers and Communications (ISCC) (pp. 973–980).

Sofia, G., Marianna, S., George, L., & Panos, K. (2016). Investigating the role of personality traits and influence strategies on the persuasive effect of personalized recommendations. In 4th Workshop on emotions and personality in personalized systems (EMPIRE).

Karyotis, V., Stai, E., & Papavassiliou, S. (2016). On the Evolution of Complex Network Topology Under Network Churn. In International Conference on Wired/Wireless Internet Communication (pp. 227–240).

Stai, E., Sotiropoulos, K., Karyotis, V., & Papavassiliou, S. (2016). Hyperbolic traffic load centrality for large-scale complex communications networks. In 2016 23rd International Conference on Telecommunications (ICT) (pp. 1–5).

Karyotis, V., Stai, E., & Papavassiliou, S. (2016). A component-based cross-layer framework for software defined wireless networks. In 2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS) (pp. 1–6).

Christopoulou, E., & Ringas, D. (2015). Wild recommendations: Presenting citizens relevant content based on use patterns and context. In Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on (pp. 1–6).

Ringas, D., Christopoulou, E., & Stefanidakis, M. (2015). Content seeking strategies in urban computing applications. In Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on (pp. 1–6).

Fronimos, D., & Kourouthanassis, P. (2015). In search for online shopping mission types based on social network analysis. In Proceedings of the 19th Panhellenic Conference on Informatics (pp. 289–294).

Karyotis, V., & Papavassiliou, S. (2015). Evaluation of Malware Spreading in Wireless Multihop Networks with Churn. In International Conference on Ad Hoc Networks (pp. 63–74).

Stai, E., Karyotis, V., & Papavassiliou, S. (2015). On the Impact of Network Evolution on NUM Resource Allocation Problems in Wireless Multihop Networks. In International Conference on Ad-Hoc Networks and Wireless (pp. 62–75).

Stai, E., Karyotis, V., & Papavassiliou, S. (2015). User interest dictated information diffusion over generalized networks. In 2015 IEEE International Conference on Communication Workshop (ICCW) (pp. 1569–1574).

Christopoulou, E., Ringas, D., & Garofalakis, J. (2014). The vision of the sociable smart city. In International Conference on Distributed, Ambient, and Pervasive Interactions (pp. 545–554).

Sotiropoulos, D. N., Kounavis, C. D., Kourouthanassis, P., & Giaglis, G. M. (2014). What drives social sentiment? An entropic measure-based clustering approach towards identifying factors that influence social sentiment polarity. In IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications (pp. 361–373).

Anifantis, E., Stai, E., Karyotis, V., & Papavassiliou, S. (2014). An MRF cross-layer resource allocation approach with back-pressure features for QoS in dynamic social and cognitive communications. In 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 323–328).

Ringas, D., & Christopoulou, E. (2013). Collective city memory: field experience on the effect of urban computing on community. In Proceedings of the 6th International Conference on Communities and Technologies (pp. 157–165).

Christopoulou, E., Ringas, D., & Garofalakis, J. (2013). Introduction to the Proceedings of the Sociable Smart City 2013 Workshop.. In Intelligent Environments (Workshops) (pp. 615–616).

Christopoulou, E., & Ringas, D. (2013). Towards the Sociable Smart City.. In Intelligent Environments (Workshops) (pp. 673–677).

Pappas, I. O., Giannakos, M. N., Kourouthanassis, P. E., & Chrissikopoulos, V. (2013). Assessing emotions related to privacy and trust in personalized services. In Collaborative, Trusted and Privacy-Aware e/m-Services: 12th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2013, Athens, Greece, April 25-26, 2013. Proceedings 12 (pp. 38–49).

Kasimati, A. E., Kourouthanasis, P., Zamani, E. D., & Giaglis, G. M. (2013). The Wireless Readiness Innovation Index: Enhancing the Effectiveness of the Public Sector in New Service Introduction.. In ICMB (pp. 22).

Christopoulou, E., Ringas, D., & Stefanidakis, M. (2012). Experiences from the urban computing impact on urban culture. In Informatics (PCI), 2012 16th Panhellenic Conference on (pp. 56–61).

Anifantis, E., Karyotis, V., & Papavassiliou, S. (2012). A markov random field framework for channel assignment in cognitive radio networks. In 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (pp. 770–775).

Arkoulis, S., Anifantis, E., Karyotis, V., Papavassiliou, S., & Mitrou, N. (2012). Channel switching-aware optimal reconfiguration in Cognitive Radio Networks. In European Wireless 2012; 18th European Wireless Conference 2012 (pp. 1–8).

Stai, E., Karyotis, V., & Papavassiliou, S. (2012). Wireless multi-hop network topology control optimization and trade-off analysis. In 2012 35th IEEE Sarnoff Symposium (pp. 1–6).

Christopoulou, E., & Ringas, D. (2011). CLIO: Context Supporting Collective City Memory. In Multimedia and Ubiquitous Engineering (MUE), 2011 5th FTRA International Conference on (pp. 6–11).

Ringas, D., Christopoulou, E., & Stefanidakis, M. (2011). CLIO: blending the collective memory with the urban landscape. In Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia (pp. 185–194).

Chen, P.-Y., Karyotis, V., Papavassiliou, S., & Chen, K.-C. (2011). Topology control in multi-channel cognitive radio networks with non-uniform node arrangements. In 2011 IEEE Symposium on Computers and Communications (ISCC) (pp. 1033–1037).

Anifantis, E., Karyotis, V., & Papavassiliou, S. (2011). Time-based cross-layer adaptations in wireless cognitive radio ad hoc networks. In 2011 IEEE Symposium on Computers and Communications (ISCC) (pp. 1044–1049).

Papaioannou, E., Georgiadis, C. K., Kourouthanassis, P. E., & Giaglis, G. M. (2011). Profiling the mobile phone users and their relationship to the internet services and portals. In 2011 10th International Conference on Mobile Business (pp. 313–319).

Stai, E., Karyotis, V., & Papavassiliou, S. (2011). Enhancing trust establishment in wireless multi-hop networks via preferential attachment. In 2011 IEEE Symposium on Computers and Communications (ISCC) (pp. 630–635).

Kourouthanassis, P. E., Georgiadis, C. K., Zamani, E., & Giaglis, G. M. (2010). Explaining the adoption of mobile internet applications. In 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR) (pp. 148–153).

Stai, E., Karyotis, V., & Papavassiliou, S. (2010). Socially-inspired topology improvements in wireless multi-hop networks. In 2010 IEEE International Conference on Communications Workshops (pp. 1–6).

Karyotis, V., Manolakos, A., & Papavassiliou, S. (2010). On topology control and non-uniform node deployment in ad hoc networks. In 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) (pp. 522–527).

Stai, E., Karyotis, V., & Papavassiliou, S. (2010). Enhanced service provisioning in wireless multi-hop networks via socially-driven inverse topology control. In 2010 IEEE Globecom Workshops (pp. 1378–1382).

Zamani, E., Kourouthanassis, P. E., & Giaglis, G. M. (2010). The mediating role of emotional state toward pervasive information system acceptance. In 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR) (pp. 100–106).

Arnautovic, E., Vallée, M., Mulvenna, M., Baumgarten, M., Hadjiantonis, A. M., Rehm, S.-V., Müthel, M., Karyotis, V., Papavassiliou, S., & Stathis, K. (2010). Towards self-managing systems inspired by economic organizations. In 2010 IEEE International Conference on Systems, Man and Cybernetics (pp. 888–895).

Zamani, E. D., Kourouthanassis, P., & Giaglis, G. (2010). The mediating role of Emotional State toward Pervasive IS adoption. In .

Karaiskos, D. C., Kourouthanassis, P., Lantzouni, P., Giaglis, G. M., & Georgiadis, C. K. (2009). Understanding the adoption of mobile data services: Differences among mobile portal and mobile internet users. In 2009 Eighth International Conference on Mobile Business (pp. 12–17).

Karyotis, V., Kakalis, A., & Papavassiliou, S. (2009). On the tradeoff between MAC-layer and network-layer topology-controlled malware spreading schemes in Ad Hoc and Sensor Networks. In 2009 Third International Conference on Emerging Security Information, Systems and Technologies (pp. 255–261).

Giaglis, G., Kourouthanassis, P. E., & Lantzouni, P. (2009). Mediated versus direct access to mobile data services: adoption patterns in Greece. In 8th Global Mobility Roundtable.

Karyotis, V., Pittal`a, F., Fazio, M., Papavassiliou, S., & Puliafito, A. (2009). Topology-Aware Hybrid Random Walk Protocols for Wireless Multihop Networks. In International Conference on Mobile Networks and Management (pp. 107–118).

Kourouthanassis, P. E., Giaglis, G. M., & Karaiskos, D. C. (2008). Delineating the degree of'pervasiveness' in pervasive information systems: an assessment framework and design implications. In 2008 Panhellenic Conference on Informatics (pp. 251–255).

Kastrinogiannis, T., Karyotis, V., & Papavassiliou, S. (2008). An opportunistic combined power and rate allocation approach in CDMA ad hoc networks. In 2008 IEEE Sarnoff symposium (pp. 1–5).

Kastrinogiannis, T., Karyotis, V., & Papavassiliou, S. (2008). On the problem of joint power and rate control in CDMA ad hoc networks. In 2008 3rd International Symposium on Wireless Pervasive Computing (pp. 78–82).

Karyotis, V., Papavassiliou, S., & Grammatikou, M. (2007). On the risk-based operation of mobile attacks in wireless ad hoc networks. In 2007 IEEE International Conference on Communications (pp. 1130–1135).

Karyotis, V. A., & Papavassiliou, S. (2007). On the malware spreading over non-propagative wireless Ad Hoc networks: The attacker's perspective. In Proceedings of the 3rd ACM workshop on QoS and security for wireless and mobile networks (pp. 156–159).

Karyotis, V., Grammatikou, M., & Papavassiliou, S. (2007). On the asymptotic behavior of malware-propagative mobile ad hoc networks. In 2007 IEEE International Conference on Mobile Adhoc and Sensor Systems (pp. 1–9).

Karyotis, V., Papavassiliou, S., Grammatikou, M., & Maglaris, B. (2006). On the characterization and evaluation of mobile attack strategies in wireless ad hoc networks. In 11th IEEE Symposium on Computers and Communications (ISCC'06) (pp. 29–34).

Karyotis, V., Papavassiliou, S., & Maglaris, B. (2006). Modeling framework for the study and analysis of mobile attack propagation in wireless ad-hoc networks. In 12th European Wireless Conference 2006-Enabling Technologies for Wireless Multimedia Communications (pp. 1–6).

Kourouthanassis, P. E., & Giaglis, G. M. (2006). A design theory for pervasive information systems. In The 3rd International Workshop on Ubiquitous Computing (pp. 62–70).

Pramatari, K. C., Doukidis, G. I., & Kourouthanassis, P. E. (2005). Towards’ smarter’Supply and Demand-Chain Collaboration Practices Enabled by RFID Technology. In Consumer Driven Electronic Transformation: Applying New Technologies to Enthuse Consumers and Transform the Supply Chain (pp. 241–256).

Kourouthanassis, P. E., & Giaglis, G. M. (2005). Shopping in the 21 st Century: Embedding Technology in the Retail Arena. In Consumer Driven Electronic Transformation: Applying New Technologies to Enthuse Consumers and Transform the Supply Chain (pp. 227–239).

Kourouthanassis, P. E., Zeimpekis, V., & Giaglis, G. (2004). Intelligence in the Supply Chain: Current Status and Adoption Prospects of RFID in the Greek Market. In 8th National Congress on Logistics.

Roussos, G., Kourouthanasis, P., Spinellis, D., Gryazin, E., Pryzbliski, M., Kalpogiannis, G., & Giaglis, G. (2003). Systems architecture for pervasive retail. In Proceedings of the 2003 ACM symposium on Applied Computing (pp. 631–636).

Kourouthanassis, P., & Roussos, G. (2003). Developing the user experience in ubiquituous commerce. In Workshop on Ubiquitous Commerce, International Conference on Ubiquitous Computing (UBICOMP’03) (pp. 1–4).

Gryazin, E., Tuominen, J., & Kourouthanassis, P. (2003). Distributed Information Systems Development For Consumer Market. In IEEE AIS'03 conference September 3-10, 2003, Divnomorskoe, Russia (pp. volume–3).

Kameas, A., Mavrommati, I., Ringas, D., & Wason, P. (2002). ecomp: An architecture that supports p2p networking among ubiquitous computing devices. In Peer-to-Peer Computing, 2002.(P2P 2002). Proceedings. Second International Conference on (pp. 57–64).

Roussos, G., Tuominen, J., Koukara, L., Seppala, O., Kourouthanasis, P., Giaglis, G., & Frissaer, J. (2002). A case study in pervasive retail. In Proceedings of the 2nd international workshop on Mobile commerce (pp. 90–94).

Kourouthanassis, P., Giaglis, G. M., Doukidis, G. I., & Pergioudakis, V. (2002). Improving the Retail Grocery Supply Chain through Mobile Shopping of Electronically Referenced Products. In 15th Bled eCommerce Conference (pp. 263–278).

Tsamakos, A., Giaglis, G. M., & Kourouthanassis, P. (2002). Auctioning tourism products over mobile devices. In Proceedings of the 1st International Conference on Mobile Commerce.

Giaglis, G., Kourouthanassis, P. E., & Doukidis, G. (2002). Intelligent tagging and automatic home replenishment schemes: The MyGrocer innovative business and technology framework. In International Conference on New Technologies and Strategies to Enhance Packaging Supply Chains.

Roussos, G., Koukara, L., Kourouthanasis, P., Tuominen, J., Seppala, O., Giaglis, G., & Jeroen, F. (2002). A case study in ubiquitous retail. In ACM MOBICOM Second International Workshop in Mobile Commerce (pp. 90–94).

Kourouthanasis, P. (2002). A Case Study in Pervasive Retail. In Proceedings of the... ACM International Workshop on Mobile Commerce (pp. 90).

Kourouthanassis, P., Spinellis, D., Roussos, G., & Giaglis, G. M. (2002). Intelligent cokes and diapers: MyGrocer ubiquitous computing environment. In First International Mobile Business Conference (pp. 150–172).

Lekakos, G., Kourouthanassis, P., & Tuominen, J. (2001). Redesigning the traditional retail value chain: MyGROCER Innovative Business and Technology Framework. In Proc. eBusiness & eWorks Conference, Venice, Italy.

Kourouthanassis, P., Koukara, L., Lazaris, C., & Thievos, K. (2001). Grocery Supply-Chain Management: MyGROCER innovative business and technology framework. In the Proceedings of the 17th International Logistics Congress on Logistics from A to `U: Strategies and Applications, Thessaloniki, Greece (pp. 264–273).

Roussos, G., Tuominen, J., Koukara, L., Seppala, O., Kourouthanasis, P., Giaglis, G. M., & Frissaer, J. (0000). A Case Study in Pervasive Retail. En Marisa-S. Viveros et al. editors. In Proc. of the Workshop Mobile Commerce (pp. 90–94).