2021

  1. Kolomvatsos, K., Anagnostopoulos, C., ‘Proactive, Uncertainty-Driven Queries Management at the Edge’, accepted for publication, Future Generation Computer Systems (FGCS), Elsevier, 2021.
  2. Kolomvatsos, K., ‘Proactive Tasks Management for Pervasive Computing Applications’, Journal of Network and Computer Applications (JNCA), Elsevier, 2021.
  3. Zioviris, G., Kolomvatsos, K., Stamoulis, G., ‘On the Use of a Sequential Deep Learning Scheme for Financial Fraud Detection’, Computing Conference, London, UK, 15-16 July, 2021.
  4. Fountas, P., Kolomvatsos, K., Anagnostopoulos, C., ‘A Deep Learning Model for Data Synopses Management in Pervasive Computing Applications’, Computing Conference, London, UK, 15-16 July, 2021.

2020

  1. K. Demertzis, L. Iliadis, N. Tziritas, P. Kikiras, “Anomaly Detection via Blockchained Deep Learning Smart Contracts in Industry 4.0,” Neural Computing Applications, vol. 32, no. 23, pp. 17361-17378, 2020.
  2. N. Tziritas, S. U. Khan, T. Loukopoulos, S. Lalis, C.-Z. Xu, K. Li, A. Zomaya “Online Inter-Datacenter Service Migrations,” IEEE Transactions on Cloud Computing (TCC), Vol. 8, no. 4, pp. 1054-1068, 2020
  3. P. Oikonomou, N. Tziritas, G. Theodoropoulos, M. Koziri, T. Loukopoulos, S. U. Khan, “Graph-based Approaches for the Interval Scheduling Problem,” IEEE International Conference on Parallel and Distributed Systems (ICPADS), Workshop Big Data Systems, 2020.
  4. S. Chen, M. Hanai, Z. Hua, N. Tziritas, G. Theodoropoulos, “Efficient Direct Agent Interaction in Optimistic Distributed Multi-Agent-System Simulations,” in ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM PADS), Florida, USA, June 2020.
  5. Oikonomou, P., Kolomvatsos, K., Loukopoulos, T., ‘Resource Provisioning Schemes for Multiple Workflow Scheduling with Seclusion Requirements’, in 24th Pan-Hellenic Conference on Informatics, Athens, Greece, Nov. 20-22, 2020.
  6. Kolomvatsos, K., ‘A Proactive Uncertainty Driven Model for Data Synopses Management in Pervasive Applications’, in 6th IEEE International Conference on Data Science and Systems, December 14-16, Fiji, 2020.
  7. Oikonomou, P., Kolomvatsos, K., Tziritas, N., Theodoropoulos, G., Loukopoulos, T., Stamoulis, G., ‘Uncertainty Driven Workflow Scheduling Using Unreliable Cloud Resources’, in IEEE International Symposium on Network Computing and Applications (NCA), November 24-27, 2020.
  8. Kolomvatsos, K., ‘Probabilistic Data Allocation in Pervasive Computing Applications’, 19th International Conference on Ubiquitous Computing and Communications (IUCC) in conjunction with the 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), December 17-19, 2020, Exeter, UK.
  9. Kolomvatsos, K., Anagnostopoulos, C., ‘A Deep Learning Model for Demand-driven, Proactive Tasks Management in Pervasive Computing’, IoT, MDPI, 2020.
  10. Fountas, P., Kolomvatsos, K., ‘Ensemble based Data Imputation at the Edge’, 32nd International Conference on Tools with Artificial Intelligence (ICTAI), Nov. 9-11, 2020.
  11. Kolomvatsos, K., Anagnostopoulos, C., Koziri, M., Loukopoulos, T., ‘Proactive & Time-Optimized Data Synopsis Management at the Edge’, accepted in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020.
  12. Kolomvatsos, K., Anagnostopoulos, C., ‘An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models’, accepted in ACM Transactions on Internet Technology (TOIT), 2020.
  13. Savva, F., Anagnostopoulos, C., Triantafillou, P., Kolomvatsos, K., ‘Large-scale Data Exploration using Explanatory Regression Functions’, accepted for publication in ACM Transactions on Knowledge Discovery from Data, 2020.
  14. A. Karanika. P. Oikonomou, K. Kolomvatsos, C. Anagnostopoulos, ‘An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge’, in International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) – CD-MAKE 2020, August 25-28, 2020.
  15. K. Kolomvatsos, M. Kalouda, P. Papadopoulou, S. Hadjiefthymiades, ‘A Fuzzy Trust Model for Autonomous Entities Acting in Pervasive Computing’, 17th International Conference on Trust, Privacy and Security in Digital Business, Sept. 14-17, Bratislava, Slovakia, 2020.
  16. P. Fountas, K. Kolomvatsos, ‘A Continuous Data Imputation Mechanism based on Streams Correlation’, in 10th Workshop on Management of Cloud and Smart City Systems, in conjunction with IEEE Symposium on Computers and Communications (ISCC), 2020.
  17. Yiannis Kathidjiotis, Kostas Kolomvatsos, Christos Anagnostopoulos, ‘Predictive Intelligence of Reliable Analytics in Distributed Computing Environments’, accepted in Springer Applied Intelligence, 2020.
  18. Ivanov, H., Anagnostopoulos, C., Kolomvatsos, K., ‘In-Network Machine Learning Predictive Analytics: A Swarm Intelligence Approach’, in Convergence of Artificial Intelligence and the Internet of Things, Mastorakis, G., et al., Springer, 2020.
  19. Karanika, A., Oikonomou, P., Kolomvatsos, K., Loukopoulos, T., ‘A Demand-driven, Proactive Tasks Management Model at the Edge’, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE World Congress on Computational Intelligence (WCCI), Glasgow, UK, 2020.
  20. T. Tziouvaras, K. Kolomvatsos, ‘Intelligent Monitoring of Virtualized Services’, in 8th European Conference on Service-Oriented and Cloud Computing, EU Projects track, Heraklion, Crete, 2020.
  21. K. Kolomvatsos, C. Anagnostopoulos, ‘A Probabilistic Model for Assigning Queries at the Edge’, Computing, Springer, https://doi.org/10.1007/s00607-019-00767-8, 2020.

2019

  1. C. Anagnostopoulos, K. Kolomvatsos, ‘An Intelligent, Time-Optimized Monitoring Scheme for Edge Nodes’, Journal of Network and Computer Applications, Elsevier, vol. 148, 2019.
  2. E. Aleksandrova, C. Anagnostopoulos, K. Kolomvatsos, ‘Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach’, in 18th IEEE International Symposium on Parallel and Distributed Computing, Amsterdam, Netherlands, June 5-7, 2019.
  3. K. Demertzis, L. S. Iliadis, P. Kikiras, N. Tziritas, “Cyber-Typhon: An Online Multi-task Anomaly Detection Framework,” in 15th  International Conference on Artificial Intelligence and Innovations (AIAI), Crete, Greece, pp. 19-36, May 2019.
  4. K. Demertzis, N. Tziritas, P. Kikiras, S. L. Sanchez, L. Iliadis, “The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense Against Adversarial Attacks,” Big Data and Cognitive Computing (BDCC MDPI), vol. 3, no. 1, pp. 6-26, 2019.
  5. K. Kolomvatsos, ‘A Distributed, Proactive Intelligent Scheme for Securing Quality in Large Scale Data Processing’, accepted for publication in Springer Computing, 2019.
  6. K. Kolomvatsos, ‘An Efficient Scheme for Applying Software Updates in Pervasive Computing Applications’, Journal of Parallel and Distributed Computing, Elsevier, vol. 128, 2019, pp. 1-14.
  7. K. Kolomvatsos, ‘Time-Optimized Management of Mobile IoT Nodes for Pervasive Applications’, Journal of Network and Computer Applications, Elsevier, vol. 125, 2019, pp. 155-167.
  8. K. Kolomvatsos, C. Anagnostopoulos, ‘Edge-Centric Queries Stream Management based on an Ensemble Model’, in ‘Advances in Integration of Intelligent Methods’, Springer Volume, 2019.
  9. K. Kolomvatsos, C. Anagnostopoulos, ‘Multi-criteria Optimal Task Allocation at the Edge’, Elsevier Future Generation Computer Systems, vol. 93, 2019, pp. 358-372.
  10. K. Kolomvatsos, P. Papadopoulou, C. Anagnostopoulos, S. Hadjiefthymiades, ‘A Spatio-Temporal Data Imputation Model for Supporting Analytics at the Edge’, 18th IFIP Conference on e-Business, e-Services, and e-Society, Norway, Sept. 2019.
  11. Karanika, A., Soula, M., Anagnostopoulos, C., Kolomvatsos, K., Stamoulis, G., ‘Optimized Analytics Query Allocation at the Edge of the Network’, in 12th International Conference on Internet and Distributed Computing Systems, Naples, Italy, Oct. 10-12, 2019.
  12. N. Panagou, M. Koziri, P. K. Papadopoulos, P. Oikonomou, N. Tziritas, K. Kolomvatsos, T. Loukopoulos, S. U. Khan, “Evaluation of Heterogeneous Scheduling Algorithms for Wavefront and Tile Parallelism in Video Coding,” in 3rd  International Conference on Internet of Things (ICIOT), San Diego, USA, pp. 16-27, July 2019.
  13. N. Tziritas, T. Loukopoulos, S. U. Khan, C. Z. Xu, A. Y. Zomaya, “Online Live VM Migration Algorithms to Minimize Total Migration Time and Downtime,” in 32nd  International Parallel and Distributed Processing Symposium (IPDPS), IEEE, Rio de Janeiro, Brazil, pp. 406-417, May 2019.
  14. P. Oikonomou, A. Dadaliaris, K. Kolomvatsos, T. Loukopoulos, A. Kakarountas, G. Stamoulis, ‘Improved Parallel Legalization Schemes for Standard Cell Placement with Obstacles’, Technologies, MPDI, 2019.
  15. P. Papadopoulos, N. Panagou, M. Koziri, K. Kolomvatsos, T. Loukopoulos, I. Anagnostopoulos, ‘Coding Time Prediction in H.264/HVEC Transcoding Using Macroblock Sizes’, in 14th International Workshop on Semantic and Social Media Adaptation and Personalization, in conjunction with the 27th ACM Conference on User Modeling, Adaptation and Personalization, Larnaca, Cyprus, 9-12 June, 2019.
  16. P. Papadopoulou, K. Kolomvatsos, S. Hadjiefthymiades, ‘Enhancing E-Government with Internet of Things’, in ‘Computational Intelligence in the Internet of Things’, Chapter 5, IGI Global, 2019.
  17. P. Papadopoulou, K. Kolomvatsos, S. Hadjiefthymiades, ‘Internet of Things Business Models: The RAWFIE Case’, 18th IFIP Conference on e-Business, e-Services, and e-Society, Norway, Sept. 2019.
  18. Panagou, N., Koziri, M., Papadopoulos, P., Oikonomou, P., Tziritas, N., Kolomvatsos, K., Loukopoulos, T., Khan, S., ‘Evaluation of Heterogeneous Scheduling Algorithms for Wavefront and Tile Parallelism in Video Coding’, in International Conference in Internet of Things (ICIOT), 2019.
  19. S. Sagkriotis, K. Kolomvatsos, C. Anagnostopoulos, D. Pezaros, S. Hadjiefthymiades, ‘Knowledge-Centric Analytics Queries Allocation in Edge Computing Environments’, accepted for publication in the IEEE Symposium on Computers and Communications (ISCC), Barcelona, Spain, 2019.
  20. Tsoukas, V., Kolomvatsos, K., Chioktour, V., Kakarountas, A., ‘A Comparative Assessment of Machine Learning Algorithms for Events Detection’, in 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Sept. 2019.
  21. Α. Α. Chandio, N. Tziritas, M. S. Chandio, C.Z. Xu, “Energy Efficient VM Scheduling Strategies for HPC Workloads in Cloud Data Centers,” Sustainable Computing: Informatics and Systems (SUSCOM Elsevier), https://doi.org/10.1016/j.suscom2019.100352, 2019.

2018

  1. K. Demertzis, P. Kikiras, N. Tziritas, S. L. Sanchez, L. Iliadis, “The Next Generation Cognitive Security Operations Center: Network Flow Forensics using Cybersecurity Intelligence,” Big Data and Cognitive Computing (BDCC MDPI), vol. 2, no. 4, pp. 35-41, 2018.
  2. T. Maqsood, N. Tziritas, T. Loukopoulos, S. A. Madani, S. U. Khan, C.-Z. Xu, A. Y. Zomaya, “Energy and Communication Aware Task Mapping for MPSoCs,” Journal of Parallel and Distributed Computing (JPDC Elsevier), vol. 121, pp. 71-89, 2018.
  3. M. Koziri, P. Papadopoulos, N. Tziritas, T. Loukopoulos, S. U. Khan, A. Zomaya, “Efficient Cloud Provisioning for Video Transcoding: Review, Open Challenges and Future Opportunities,” Internet Computing (IC IEEE), vol. 22, no. 5, pp. 46-55, 2018.
  4. T. Loukopoulos, N. Tziritas, M. Koziri, G. Stamoulis, S. U. Khan, “A Pareto-Efficient Algorithm for Data Stream Processing at Network Edges,” in 10th International Conference on Cloud Computing Technology and Science (CloudCom), IEEE, Nicosia, Cyprus, pp. 159-162, Dec. 2018.
  5. N. Tziritas, S. Mustafa, M. Koziri, T. Loukopoulos, S. U. Khan, C.-Z. Xu, A. Y. Zomaya, “Server Consolidation in Cloud Computing,” in 24th International Conference on Parallel and Distributed Systems (ICPADS), IEEE, Singapore, pp. 194-203, Dec. 2018.
  6. N. Tziritas, T. Loukopoulos, S. U. Khan, C.-Z. Xu, A. Zomaya, “A Communication-Aware Energy-Efficient Graph-Coloring Algorithm for VM Placement in Clouds,” in 18th International Conference on Scalable Computing and Communications (ScalCom), IEEE, Guangzhou, China, pp. 1684-1691, Oct. 2018.
  7. P. Oikonomou, M. Koziri, N. Tziritas, A. Dadaliaris, T. Loukopoulos, G. Stamoulis, S. U. Khan, “Scheduling Video Transcoding Jobs in the Cloud,” in 14th International Conference on Green Computing (GreenCom), IEEE, Halifax, Canada, pp. 442-449, July 2018.
  8. T. Loukopoulos, N. Tziritas, M. Koziri, G. Stamoulis, S. U. Khan, C.-Z. Xu, A. Y. Zomaya, “Data Stream Processing at Network Edges,” in 32nd International Parallel and Distributed Processing Symposium Workshops(IPDPSW), IEEE, Vancouver, Canada, pp. 657-665, May 2018.
  9. K. Kolomvatsos, ‘An Intelligent, Uncertainty Driven Management Scheme for Software Updates in Pervasive IoT Applications’, Elsevier Future Generation Computer Systems, vol. 83, pp. 116-131, 2018.
  10. K. Kolomvatsos, ‘Time-Optimized Management of IoT Nodes’, Elsevier Ad Hoc Networks, vol. 69, 2018, pp. 1-14.
  11. K. Kolomvatsos, ‘An Intelligent Scheme for Assigning Queries’, Springer Applied Intelligence, https://doi.org/10.1007/s10489-017-1099-5, 2018.
  12. C. Anagnostopoulos, K. Kolomvatsos, ‘Predictive Intelligence to the Edge through Approximate Collaborative Context Reasoning’, Springer Applied Intelligence, vol. 48(4), 2018, pp. 966-991.
  13. K. Kolomvatsos, C. Anagnostopoulos, ‘An Edge-Centric Ensemble Scheme for Queries Assignment’, in 8th International Workshop on Combinations of Intelligent Methods and Applications in conjunction with the 30th International Conference on Tools with Artificial Intelligence, Nov. 5-7, Volos, Greece, 2018.
  14. K. Kolomvatsos, C. Anagnostopoulos, ‘In-Network Edge Intelligence for Optimal Task Allocation’, 30th International Conference on Tools with Artificial Intelligence, Nov. 5-7, Volos, Greece, 2018.
  15. K. Kolomvatsos, M. Koziri, T. Loukopoulos, ‘An Intelligent Scheme for the Identification of QoS Violations in Virtualized Environments’, 30th International Conference on Tools with Artificial Intelligence, Nov. 5-7, Volos, Greece, 2018.
  16. K. Kolomvatsos, P. Oikonomou, M. Koziri, T. Loukopoulos, ‘A Distributed Data Allocation Scheme for Autonomous Nodes’, IEEE International Conference on Scalable Computing and Communications, Guangzhou, China, Oct. 8-12, 2018.
  17. K. Kolomvatsos, P. Papadopoulou, S. Hadjiefthymiades, ‘Data Storage in Internet of Things: A Proposed Distributed model’, 12th Mediterranean Conference on Information Systems, Corfu, Greece, Sept. 28-30, 2018.
  18. K. Kolomvatsos, T. Loukopoulos, ‘Scheduling the Execution of Tasks at the Edge’, 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018), Rhodes, Greece, May 25-27, 2018.
  19. T. Loukopoulos, M. Koziri, K. Kolomvatsos, P. Oikonomou, ‘On Green Scheduling for Desktop Grids’, Pervasive Information Systems Workshop, 6th International Conference on Information Systems and Technologies, Naples, Italy, March 27-29, 2018.
  20. K. Kolomvatsos, Guest Editor of the Special Issue in ‘Mobile Sensor Networks’, Journal of Electronics, MPDI AG, 2018.
  21. K. Kolomvatsos, C. Anagnostopoulos, ‘Intelligent Applications over Large-Scale Data Streams’, The Scottish Informatics & Computer Science Alliance (SICSA), DemoFest, Edimburgh, Scotland, Nov. 6th, 2018.
  22. K. Kolomvatsos, M. Koziri, T. Loukopoulos, ‘A Recommendation System for Allocating Video Resources in Multiple Partitions’, Big Data Recommender Systems: Recent Trends and Advances, Institution of Engineering and Technology (IET), 2018.

2017

  1. P. Oikonomou, M. Koziri, N. Tziritas, T. Loukopoulos, C.-Z. Xu, “Scheduling Heuristics for Live Video Transcoding on Cloud Edges,” International Journal on ZTE Communications, vol. 15, no. 2, pp. 35-41, 2017
  2. M. Koziri, P. Papadopoulos, N. Tziritas, A. N. Dadaliaris, T. Loukopoulos. G. I. Stamoulis, “On Planning the Adoption of New Video Standards in Social Media Networks: a General Framework and its Application to HEVC,” Social Network Analysis and Mining (SNAM Springer), vol. 7, no. 1, pp. 1-16, 2017
  3. D. Skoumpourdis, P. Papadopoulos, M. Koziri, N. Tziritas, T. Loukopoulos, I. Anagnostopoulos, “On Improving the Speedup of Slice and Tile  Level Parallelism in HEVC Using AVX2,” in 21st Panhellenic Conference on Informatics (PCI), ACM, Larisa, Greece, pp. 52-57, Dec. 2017
  4. M. Koziri, P. Papadopoulos, N. Tziritas, T. Loukopoulos, S. U. Khan, G. Stamoulis, “Heuristics for Tile Parallelism in HEVC,” in 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, pp. 1514-1518, Aug. 2017
  5. M. Qasim, T. I. Bhati, E. Munir, N. Tziritas, S. U. Khan, L. T. Yang, “Dynamic Mapping of Application Workflow in Heterogeneous Computing Environment,” in 31st International Parallel and Distributed Processing Symposium Workshops(IPDPSW), IEEE, pp. 462-471, May 2017.
  6. K. Kolomvatsos, C. Anagnostopoulos, ‘Reinforcement Machine Learning for Predictive Analytics in Smart Cities’, Informatics, MDPI, 4, 16, 2017.
  7. Anagnostopoulos, T., Kolomvatsos, K., Medvedev, A., Amirian, P., Morley, J., Hadjieftymiades, S., Zaslavsky, A., ‘Challenges and Opportunities of Waste Management in IoT-enabled Smart Cities: A Survey’, IEEE Transactions on Sustainable Computing, Volume: 2, Issue: 3, 2017.
  8. K. Kolomvatsos, S. Hadjiefthymiades, ‘Predictive Intelligence in Analytics Aggregation of Partially Ordered Subsets’,IEEE Transactions on Systems, Man and Cybernetics: Systems, 2017.
  9. K. Kolomvatsos, S. Hadjiefthymiades, ‘Learning the Engagement of Query Processors for Intelligent Analytics’, Springer Applied Intelligence Journal, vol. 46(1), 96-112, pp. 1-17, 2017.
  10. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Distributed Localized Contextual Event Reasoning under Uncertainty’, IEEE Internet of Things Journal, vol. 4(1), 2017, pp. 183-191.
  11. Panagiota Papadopoulou, Kostas Kolomvatsos, Kyriaki Panagidi, Stathes Hadjiefthymiades, ‘Investigating the Business Potential of Internet of Things’, in Proceedings of the Mediterranean Conference on Information Systems, Sept. 4-6, Genoa, Italy, 2017.
  12. K. Kolomvatsos, C. Anagnostopoulos, A. Marnerides, Q. Ni, S. Hadjiefthymiades, D. Pezaros, ‘Uncertainty-driven Ensemble Forecasting of QoS in Software Defined Networks’, accepted in 22nd IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017.

2016

  1. N. Tziritas, T. Loukopoulos, S. U. Khan, C.-Z. Xu, A. Zomaya “On Improving Constrained Single and Group Operator Placement Using Evictions in Big Data Environments,” IEEE Transactions on Services Computing (TSC IEEE), vol. 9, no. 5, pp. 818-831, 2016
  2. A. Chandio, N. Tziritas, F. Zhang, L. Yin, C.-Z. Xu, “Towards Adaptable and Tunable Cloud-based Map-matching Strategy for GPS Trajectories,” Frontiers of Information Technology & Electronic Engineering, 2016.
  3. Hameed, A. Khoshkbarforoushha, R. Ranjan, P. P. Jayaraman, J. Kolodziej, P. Balaji, S. Zeadally, Q. M. Malluhi, N. Tziritas, A. Vishnu, S. U. Khan, and A. Y. Zomaya, “A Survey and Taxonomy on Energy Efficient Resource Allocation Techniques for Cloud Computing Systems,” Computing (Springer), vol. 98, no. 7, 2016, pp. 751-774.
  4. M. Koziri, P. Papadopoulos, N. Tziritas, A. Dadaliaris, T. Loukopoulos, S. U. Khan, C.-Z. Xu, “Adaptive Tile Parallelization for Fast Video Encoding in HEVC,” in 12th International Conference on Green Computing and Communications (GreenCom), IEEE, Chengdu, China, pp. 738-743, Dec. 2016.
  5. P. Papadopoulos, M. Koziri, N. Tziritas, T. Loukopoulos, I. Anagnostopoulos, G. Stamoulis, “Performance Evaluation of Batch Encodings in HEVC Using Slice Level Parallelism,” in 20th Panhellenic Conference on Informatics (PCI), ACM,  Patra, Greece, pp. 70-75, Nov. 2016.
  6. Roukh, L. Belatreche, N. Tziritas, C. Ordonez, “Energy-Aware Processing on Parallel Database Cluster Nodes,” in 16th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Springer,  Granada, Spain, pp. 260-269, Dec. 2016.
  7. M. Koziri, P. Papadopoulos, N. Tziritas, A. Dadaliaris, T. Loukopoulos, G. Stamoulis, “A Framework for Scheduling the Encoding of Multiple Smart User Videos,” in 11th IEEE International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), IEEE,  Thessaloniki, Greece, pp. 29-34, Oct. 2016.
  8. M. Koziri, P. Papadopoulos, N. Tziritas, A. Dadaliaris, T. Loukopoulos, S. U. Khan, “Slice-Based Parallelization in HEVC Encoding: Realizing the Potential through Efficient Load Balancing,” in 18th Workshop on Multimedia Signal Processing (MMSP), IEEE, Montreal, Canada, pp. 1-6, Sep. 2016.
  9. K. Kolomvatsos, K. Panagidi, I. Neokosmidis, D. Varoutas, S Hadjiefthymiades, ’Automated Concurrent Negotiations: An Artificial Bee Colony Approach’, Elsevier Electronic Research and Applications (ECRA), vol. 19, 2016, pp. 56-69.
  10. Jankowski, J., Goode, S., Kolomvatsos, K., Kazienko, P., Watrobski, J., ‘Fuzzy Modeling of User Behaviours and Virtual Goods Purchases in Social Networking Platforms’, Special Issue on Analyzing and Mining Social Networks for Decision Support, Journal of Universal Computer Science, vol. 22(3), pp. 416-437, 2016.
  11. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Data Fusion & Type-2 Fuzzy Inference in Contextual Data Stream Monitoring’, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. PP, Issue 99, pp.1-15, 2016.
  12. K. Kolomvatsos, ‘An Intelligent, Uncertainty Driven Aggregation Scheme for Streams of Ordered Sets’, Springer Applied Intelligence (APIN), doi 10.1007/s10489-016-0789-8, pp. 1-23, 2016.
  13. C. Anagnostopoulos, K. Kolomvatsos, ‘A Delay-Resilient and Quality-aware Mechanism over Incomplete Contextual Data Streams’, Elsevier Information Sciences Journal (INS), vol. 355-356, pp. 90-109, 2016.
  14. C. Anagnostopoulos, S. Hadjiefthymiades, K. Kolomvatsos, ‘Accurate, Dynamic & Distributed Localization of Phenomena for Mobile Sensor Networks’, ACM Transactions on Sensor Networks (TOSN), vol. 12(2), art. No 9, 2016.
  15. K. Kolomvatsos, ‘Effective Problem Solving through Fuzzy Logic Knowledge Bases Aggregation’, Springer Soft Computing Journal, 20(3), 1071-1092, 2016.
  16. K. Kolomvatsos, M. Tsiroukis, S. Hadjiefthymiades, ‘An Experiment Description Language for Supporting Mobile IoT Applications’, 2016 FIRE Book, European Commission, River Publishers.

2015

  1. N. Tziritas, T. Loukopoulos, S. U. Khan, C.-Z. Xu, “Distributed Algorithms for the Operator Placement Problem,” IEEE Transactions on Computational Social Systems (TCSS), vol. 2, no. 4, pp. 182-196, 2015
  2. S. U. R. Malik , S. U. Khan, S. J. Ewen , N. Tziritas, J. Kolodziej, A. Y. Zomaya, S. A. Madani, N. Min-Allah , L. Wang, C. Xu, Q. M. Malluhi, J. E. Pecero, P. Balaji, A. Vishnu, R. Ranjan, S. Zeadally, and H. Li, “Performance Analysis of Data Intensive Cloud Systems Based On Data Management and Replication: A Survey,” Distributed and Parallel Databases (DPD Springer), vol. 34, no. 2, 2015, pp. 179-215.
  3. A.  Chandio, N. Tziritas, C.-Z. Xu, “Big-Data Processing Techniques and Their Challenges in Transport Domain,” International Journal on ZTE communications, vol. 13, no. 1, pp. 50-59, 2015.
  4. R. Irfan, C. K. King, D. Grages, S. Ewen, S. U. Khan, S. A. Madani, J. Kolodziej, L. Wang, D. Chen, A. Rayes, N. Tziritas, C.-Z. Xu, A. Y. Zomaya, A. S. Alzahrani, and H. Li, “A Survey on Text Mining in Social Networks,” Knowledge Engineering Review (KER Cambridge University Press), vol. 30, no. 2, pp. 157-170, 2015.
  5. S. Mustafa, K. Bilal, S. A. Madani, N. Tziritas, S. U. Khan, and L. T. Yang, “Performance Evaluation of Energy-aware Best Fit Decreasing Algorithms for Cloud Environments,” in 11th International Conference on Data Science and Data Intensive Systems (DSDIS), IEEE Sydney, Australia, Dec. 2015.
  6. N. Tziritas, T. Loukopoulos, S. Lalis, S. U. Khan, and C.-Z. Xu, “Coordination Strategies for Agent Migrations in Wireless Sensor Networks,” in 21st International conference on Parallel and Distributed Systems (ICPADS), IEEE, Melbourne, pp. 198-206,Dec. 2015.
  7. A. Chandio, N. Tziritas, D. Zhang, C.-Z. Xu, “An Approach for Map-Maching Strategy of GPS-trajectories based on the Locality of Road Networks,” in 2nd International conference on Internet of Vehicles (IOV), Springer,Chengdu, China, pp. 234-246,Dec. 2015.
  8. P. Papadopoulos, T. Loukopoulos, I. Anagnostopoulos, N. Tziritas, M. Vasilakopoulos, “RAC: A Remote Application Calling Framework for Coordination of Mobile Apps,” in 19th Panhellenic Conference on Informatics (PCI), ACM, Athens, Greece, pp. 394-399, Oct. 2015.
  9. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Contextual Reasoning under Uncertainty in Sensor Data Stream Monitoring’, International Journal of Monitoring and Surveillance Technologies Research, vol. 3(2), pp. 1-19, 2015.
  10. T. Anagnostopoulos, K. Kolomvatsos, C. Anagnostopoulos, A. Zaslavsky, S. Hadjiefthymiades, ‘Assessing Dynamic Models for High Priority Waste Collection in Smart Cities’, Elsevier Journal of Systems and Software (JSS), vol. 110, 2015, pp. 178-192.
  11. K. Kolomvatsos, Guest Editor of the Special Issue in ‘Machine Learning and Computational Intelligence in Big Data’, International Journal of Machine Learning and Cybernetics, Springer, 2015.
  12. K. Kolomvatsos, C. Anagnostopoulos and S. Hadjiefthymiades, ‘A Time Optimized Scheme for Top-k List Maintenance over Incomplete Data Streams’, Elsevier Information Sciences (INS), vol. 311, pp. 59-73, 2015.
  13. C. Anagnostopoulos, S. Hadjiefthymiades and K. Kolomvatsos, ‘Time Optimized User Grouping in Location Based Services’, Elsevier Computer Networks (COMNET), vol. 81, pp. 220-244, 2015.
  14. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘An Efficient Time-Optimized Scheme for Progressive Analytics in Big Data’, Elsevier Big Data Research, vol. 2(4), 2015, pp. 155-165.
  15. K. Kolomvatsos, K. Panagidi, S. Hadjiefthymiades, ‘A Load Balancing Module for Post Emergency Management’, Elsevier Expert Systems with Applications (ESWA), (IF 2013: 1.965), vol. 42(1), 2014, pp. 657 – 667, 2015.
  16. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘An Efficient Environmental Monitoring System adopting Data Fusion, Prediction and Fuzzy Logic’, 6th International Conference on Information, Intelligence, Systems and Applications, Corfu, Greece, July 2015.
  17. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Intelligent Contextual Data Stream Monitoring’, 8th International Conference on Pervasive Technologies Related to Assistive Environments, July 2015, Corfu, Greece, 2015.

2014

  1. A. Chandio, K. Bilal, N. Tziritas, Z. Yu, Q. Jiang, S. U. Khan, and C.-Z. Xu, “A Comparative Study on Resource Allocation and Energy Efficient Job Scheduling  Strategies in Large-Scale Parallel Computing Systems,” Cluster Computing (Springer), vol. 17, no. 4, pp. 1349-1367, 2014.
  2. M. B. Qureshi, M. M. Dehnavi, N. Min-Allah, M. S. Qureshi, H. Hussain, I. Rentifis, N. Tziritas, T. Loukopoulos,S. U. Khan, C.-Z. Xu, A. Y. Zomaya, “Survey on Grid Resource Allocation Mechanisms,” Journal of Grid Computing (JGC Springer), vol. 12, no. 2, pp. 399-441, 2014.
  3. N. Tziritas, S. U. Khan, T, Loukopoulos, S. Lalis, C.-Z. Xu, P. Lampsas, “Single and Group Agent Migration: Algorithms, Bounds, and Optimality Issues,” IEEE Transactions on Computers (TC IEEE), vol. 63, no. 12, pp. 3143-3161, 2014.
  4. K. Kolomvatsos, D. Trivizakis, S. Hadjiefthymiades, ‘An Adaptive Fuzzy Logic System for Automated Negotiations’, accepted for publication in Elsevier Fuzzy Sets and Systems (FSS), 2014.
  5. K. Kolomvatsos, C. Anagnostopoulos and S. Hadjiefthymiades, ‘An Efficient Recommendation System based on the Optimal Stopping Theory’, Elsevier Expert Systems with Applications (ESWA), (IF 2013: 1.965), vol. 41(15), 2014.
  6. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Sellers in Marketplaces: A Fuzzy Logic based Decision Support System’, Elsevier Information Sciences (INS) (IF 2013: 3.893), vol. 278, pp. 267-284, 2014.
  7. K. Panagidi, K. Kolomvatsos, S. Hadjiefthymiades, ‘An Intelligent Scheme for Concurrent Multi-Issue Negotiations’, International Journal of Artificial Intelligence (IJAI), vol. 12(1), 2014, pp. 129-149.
  8. B. Lika, K. Kolomvatsos, S. Hadjiefthymiades, ‘Facing the Cold Start Problem in Recommender Systems’, Elsevier Expert Systems with Applications (ESWA) (IF 2013: 1.965), vol. 41(4), 2014, 2065-2073.
  9. K. Kolomvatsos, S. Hadjiefthymiades, ‘On the Use of Particle Swarm Optimization and Kernel Density Estimator in Concurrent Negotiations’, accepted for publication in Elsevier Information Sciences (INS) (IF 2013: 3.893), 2014.

2013

  1. N. Tziritas, S. U. Khan, C.-Z. Xu, T, Loukopoulos, S. Lalis, “On Minimizing the Resource Consumption of Cloud Applications Using Process Migrations,” Elsevier Journal of Parallel and Distributed Computing (JPDC Elsevier), vol. 73, no. 12, pp. 1690-1704, 2013.
  2. N. Tziritas, S. Lalis, S. U. Khan, T, Loukopoulos, C.-Z. Xu, P. Lampsas, “Distributed Online Algorithms for the Agent Migration Problem in WSNs,” Mobile Networks and Applications (MONET ACM/Springer), vol. 18, no. 5, pp. 622-638, 2013.
  3. N. Tziritas, C.-Z. Xu, T. Loukopoulos, S. U. Khan, , Z. Yu, “Application-aware Workload Consolidation to Minimize both Energy Consumption and Network Load in Cloud Environments”, n 42nd International Conference on Parallel Processing (ICPP), IEEE, Lyon, France, pp. 449-457, Oct. 2013.
  4. A. Chandio, C.-Z. Xu, N. Tziritas, K. Bilal, S. U. Khan, “A Comparative Study of Scheduling Strategies in Large-scale Parallel Computational Systems,” in 11th International Symposium on Parallel and Distributed Processing with Applications (ISPA), IEEE, Melbourne, Australia, pp. 949-957, July 2013.
  5. K. Kolomvatsos, C. Anagnostopoulos, and S. Hadjiefthymiades, ‘Determining the Optimal Stopping Time for Automated Negotiations’, IEEE Transactions on Systems, Man and Cybernetics (Part: Systems), doi 10.1109/TSMC.2013.2279665, 2013.
  6. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘An Extended Q-Gram Algorithm for Calculating the Relevance Factor of Products in Electronic Markets’, Elsevier Electronic Commerce Research and Applications (ECRA) (IF 2013: 1.304), vol. 12(6), 2013, pp. 397-411.
  7. C. Anagnostopoulos, K. Kolomvatsos and S. Hadjiefthymiades, ‘Efficient Location Based Services for Groups of Mobile Users’, in IEEE 14th International Conference on Mobile Data Management (MDM), Milan, Italy, June 3-6, 2013.
  8. K. Panagidi, K. Kolomvatsos and S. Hadjiefthymiades, ‘On the Use of PSO with Weights Adaptation in Concurrent Multi-Issue Negotiations’, in 10th International Symposium on Distributed Computing and Artificial Intelligence (DCAI ’13), Salamanca, Spain, May 22-24, 2013.
  9. Kostas Kolomvatsos, Christos Anagnostopoulos & Stathes Hadjiefthymiades, ‘Intelligent Technologies and Techniques for Pervasive Computing’, published by IGI Global, May 2013.
  10. K. Kolomvatsos, K. Panagidi and S. Hadjiefthymiades, ‘Optimal Spatial Partitioning for Resource Allocation’, in 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2013), Baden-Baden, Germany, May 12-15, 2013.

2012

  1. Rentifis, N. Tziritas, S. Lalis, P. Lampsas, T. Loukopoulos, “Improving Application Availability in Wireless Sensor Networks with Energy-Harvesting Capability,” in 13th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), IEEE, Beijing, China, pp. 122-127, Dec. 2012.
  2. N. Tziritas, S. U. Khan, C.-Z. Xu, J. Hong, “An Optimal Fully Distributed Algorithm to Minimize the Resource Consumption of Cloud Applications”, in 18th International Conference on Parallel and Distributed Systems (ICPADS), IEEE, Singapore, pp. 61-68, Dec. 2012.
  3. N. Tziritas, G. Georgakoudis, S. Lalis, T. Paczesny, J. Domaszewicz, P. Lampsas, T. Loukopoulos, “Middleware Mechanisms for Agent Mobility in Wireless Sensor and Actuator Networks,” in 4th International Conference on Sensor Systems and Software (S-CUBE), Springer, Lisbon, Portugal, pp. 30-44,June 2012.
  4. N. Tziritas, P. Lampsas, S. Lalis, T. Loukopoulos, S.U. Khan, C.-Z. Xu, “Introducing Agent Evictions to Improve Application Placement in Wireless Distributed Systems”, in 41st International Conference on Parallel Processing (ICPP), IEEE, Pittsburgh, USA, pp. 480-489,Sep. 2012.
  5. Kostas Kolomvatsos, George Valkanas, and Stathes Hadjiefthymiades, ‘Debugging Applications Created by a Domain Specific Language: The IPAC Case’, Elsevier Journal of Systems and Software (JSS) (IF 2012: 1.135), vol. 85(4), April 2012, pp. 932-943.
  6. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘Buyer Behaviour Adaptation Based on a Fuzzy Logic Controller and Prediction Techniques’, Elsevier Fuzzy Sets and Systems (FSS) (IF 2012: 1.749), vol. 189(1), Feb. 2012, pp. 30-52.
  7. K. Kolomvatsos, C. Anagnostopoulos, and S. Hadjiefthymiades, ‘A Fuzzy Logic System for Bargaining in Information Markets’, ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol. 3(2), Feb. 2012, art. No 32.
  8. Kostas Kolomvatsos, George Valkanas, Petros Patelis, and Stathes Hadjiefthymiades, ‘Creating, Debugging and Testing Mobile Applications with the IPAC Application Creation Environment’, in ‘Formal and Practical Aspects of Domain-Specific Languages: Recent Developments’, ed. Dr M. Mernik, IGI Global, 2012.

2011

  1. N. Tziritas, T. Loukopoulos, S. Lalis and P. Lampsas, “Algorithms for energy-driven agent placement in wireless embedded systems with memory constraints,” Simulation Modelling Practice and Theory (SIMPAT Elsevier), vol. 19, no. 6, pp. 1445-1464, 2011.
  2. N. Tziritas, S.U. Khan, and T. Loukopoulos, Chapter 11: On Reconfiguring Embedded Application Placement on Smart Sensing and Actuating Environments, Intelligent Decision Systems in Large-Scale Distributed Environments
    Series: Studies in Computational Intelligence, Springer,
    vol. 362, pp. 231-250, 2011, ISBN 978-3-642-21270-3.
  3. N. Tziritas, T. Loukopoulos, S. Lalis and P. Lampsas, “GRAL: A Grouping Algorithm to Optimize Application Placement in Wireless Embedded Systems,” in 25th IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, Anchorage, USA, pp. 734-745,May 2011.
  4. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘On the Use of Fuzzy Logic in Electronic Marketplaces’, in the book ‘Cross Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies’, ed. Vijay Mago, IGI Global, 2011.

2010

  1. N. Tziritas, T. Loukopoulos, S. Lalis and P. Lampsas, “On Deploying Tree Structured Agent Applications in Networked Embedded Systems,” in 16th International Euro-Par Conference (EUROPAR), Springer, Ischia, Italy pp. 490-502, Sep. 2010.
  2. N. Tziritas, T. Loukopoulos, S. Lalis and P. Lampsas, “Agent Placement in Wireless Embedded Systems: Memory Space and Energy Optimizations,” in 25th IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), April 2010.
  3. G. Boulougaris, K. Kolomvatsos, and S. Hadjiefthymiades, ‘Building the Knowledge Base of a Buyer Agent Using Reinforcement Learning Techniques’, In Proc. of the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), IJCNN, July 18th – 23rd, Barcelona, Spain, pp. 1166-1173.
  4. R. Arapoglou, K. Kolomvatsos, and S. Hadjiefthymiades, ‘Buyer Agent Decision Process Based on Automatic Fuzzy Rules Generation Methods’, In Proc. of the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), FUZ-IEEE, July 18th – 23rd, Barcelona, Spain, pp. 856-863.
  5. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘Defining Time Constraints for Sellers in Electronic Markets’, in the ‘Encyclopedia of E-Business Development and Management in the Global Economy’, ed. In Lee, IGI Global, 2010.

2009

  1. N. Tziritas, T. Loukopoulos, P. Lampsas and S. Lalis, “Using Multicast Transfers in the Replica Migration Problem: Formulation and Scheduling Heuristics,” in 15th International Euro-Par Conference (EUROPAR), Springer, Delft, Netherlands, pp. 228-240, Aug. 2009.
  2. V. Nomikos, K. Kolomvatsos, and V. Papadopoulos, ‘An Application Creation Environment for Autonomic Computing’, In 2nd Student Workshop on Wireless Sensor Networks, Oct. 30-31st, Athens, 2009.
  3. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘Automatic Fuzzy Rules Generation for the Deadline Calculation of a Seller Agent’, In Proc. of the 9th International Symposium on Autonomous Decentralized Systems (ISADS 2009), Athens, Greece, March 23-25, 2009, pp. 429-434.
  4. V. Nomikos, and K. Kolomvatsos, ‘Documentation of the IPAC Application Description Language’, Technical Report, Department of Informatics and Telecommunications, National and Kapodistrian Univarsity of Athens, Sept. 2009.

2008

  1. N. Tziritas, T. Loukopoulos, P. Lampsas and S. Lalis, “Formal model and scheduling heuristics for the replica migration problem,” in 14th International Euro-Par Conference (EUROPAR), Springer, Las Palmas, Spain, pp. 305-314, Aug. 2008.
  2. V. Papataxiarhis, V. Riga, V. Nomikos, O. Sekkas, K. Kolomvatsos, V. Tsetsos, P. Papageorgas, S. Vourakis, S. Hadjiefthymiades, and G. Kouroupetroglou, ‘MNISIKLIS: Indoor Location Based Services for All’, In Proc. of the 5th International Symposium on LBS and TeleCartography, Nov. 26th – 28th, Salzburg, Austria, 2008.
  3. K. Kolomvatsos, C. Anagnostopoulos, and S. Hadjiefthymiades, ‘On The Use of Fuzzy Logic in a Seller Bargaining Game’, In Proc. of the 32nd Annual IEEE International Computer Software an Applications Conference (COMPSAC 2008), July 28th – August 1st, Turku, Finland, 2008, pp. 184-191.
  4. K. Kolomvatsos and S. Hadjiefthymiades, ‘Implicit Deadline Calculation for Seller Agent Bagraining in Information Marketplaces’, In Proc. of the 2nd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008), March 4th – 7th, Polytechnic University of Catalonia, Barcelona, Spain, 2008, pp. 184-190.
  5. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘How Can We Trust Agents in Multi-Agent Environments?’, Chapter in ‘Intelligence Integration in Distributed Knowledge Management’, eds D. Krol and N. T. Nguyen, IDEA Group Inc., 2008.
  6. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘Ontologies and Intelligent Agents: A Powerful Bond’, Chapter in ‘The Semantic Web for Knowledge and Data Management: Technologies and Practices’, eds Z. Ma and H. Wang, IDEA Group Inc., 2008.
  7. K. Kolomvatsos and V. Tsetsos, ‘Spatial Ontology-Based Annotation Using GIS’, Technical Report, Department of Informatics and Telecommunications, National and Kapodistrian Univarsity of Athens, Feb. 2008.

2007

  1. K. Kolomvatsos, V. Papataxiarhis, and S. Hadjiefthymiades, ‘Semantic Location Based Services for Smart Spaces’, In Proc. of the 2nd International Conference on Metadata and Semantics Research (MTSR), Oct. 11th – 12th, Corfu, Greece, 2007.
  2. Kostas Kolomvatsos, ‘Ubiquitous Computing in Education’, Chapter in ‘Ubiquitous and Pervasive Knowledge and Learning Management: Semantics, Social Networking and New Media to their Full Potential’, IDEA Group Inc., 2007.
  3. T. Loukopoulos, N. Tziritas, P. Lampsas and S. Lalis, “Implementing Replica Placements: Feasibility and Cost Minimization,” in 21st International Parallel and Distributed Processing Symposium (IPDPS), IEEE, Long Beach, USA, pp. 1-10, March 2007.

2006

  1. T. Loukopoulos, N. Tziritas, P. Lampsas and S. Lalis, “Investigating the Replica Transfer Scheduling Problem,” in 18th International Conference on Parallel and Distributed Computing Systems (PDCS), Dallas, USA, Sep., 2006.