TY - JOUR AU - Kolomvatsos, Kostas AU - Anagnostopoulos, Christos TI - Proactive, uncertainty-driven queries management at the edge JF - FUTURE GENERATION COMPUTER SYSTEMS J2 - FUTUR GENER COMP SYST VL - 118 PY - 2021 SP - 75 EP - 93 PG - 19 SN - 0167-739X DO - 10.1016/j.future.2020.12.028 UR - https://m2.mtmt.hu/api/publication/31858836 ID - 31858836 N1 - Cited By :3 Export Date: 4 April 2023 CODEN: FGCSE Correspondence Address: Kolomvatsos, K.; Department of Informatics and Telecommunications, Greece; email: kostasks@uth.gr LA - English DB - MTMT ER - TY - CHAP AU - Kolomvatsos, Kostas AU - Anagnostopoulos, Christos ED - Grivokostopoulou, Foteini ED - Perikos, Isidoros ED - Hatzilygeroudis, Ioannis TI - Edge-Centric Queries’ Stream Management Based on an Ensemble Model T2 - Advances in Integrations of Intelligent Methods PB - Springer-Verlag Singapore CY - Singapore PY - 2020 SP - 27 EP - 48 PG - 22 DO - 10.1007/978-981-15-1918-5_2 UR - https://m2.mtmt.hu/api/publication/31140313 ID - 31140313 AB - The Internet of things (IoT) involves numerous devices that can interact with each other or with their environment to collect and process data. The collected data streams are guided to the cloud for further processing and the production of analytics. However, any processing in the cloud, even if it is supported by improved computational resources, suffers from an increased latency. The data should travel to the cloud infrastructure as well as the provided analytics back to end users or devices. For minimizing the latency, we can perform data processing at the edge of the network, i.e., at the edge nodes. The aim is to deliver analytics and build knowledge close to end users and devices minimizing the required time for realizing responses. Edge nodes are transformed into distributed processing points where analytics queries can be served. In this paper, we deal with the problem of allocating queries, defined for producing knowledge, to a number of edge nodes. The aim is to further reduce the latency by allocating queries to nodes that exhibit low load (the current and the estimated); thus, they can provide the final response in the minimum time. However, before the allocation, we should decide the computational burden that a query will cause. The allocation is concluded by the assistance of an ensemble similarity scheme responsible to deliver the complexity class for each query. The complexity class, thus, can be matched against the current load of every edge node. We discuss our scheme, and through a large set of simulations and the adoption of benchmarking queries, we reveal the potentials of the proposed model supported by numerical results. LA - English DB - MTMT ER - TY - CONF AU - Kostas, Kolomvatsos AU - Christos, Anagnostopoulos ED - Ioannis, Hatzilygeroudis ED - Vasile, Palade ED - Isidoros, Perikos TI - An Edge-centric Ensemble Scheme for Queries Assignment T2 - Proceedings of the 8th International Workshop on Combinations of Intelligent Methods and Applications co-located with 30th International Conference on Artificial Intelligence Tools (ICTAI 2018) T3 - CEUR Workshop Proceedings ; 2252. PY - 2018 SP - 1 EP - 13 PG - 13 UR - https://m2.mtmt.hu/api/publication/30346961 ID - 30346961 LA - English DB - MTMT ER - TY - GEN AU - Papamichail, Aggelos TI - An Empirical Study on the Usage of Conventions and Rules for SQL programming in FoSS ET - 0 PY - 2018 UR - https://m2.mtmt.hu/api/publication/30346975 ID - 30346975 LA - English DB - MTMT ER - TY - JOUR AU - Aleksander, G. Maksimochkin TI - Estimating the Mixing Power of Business Logic and SQL Query Compiling Logic inside MVC Models JF - INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING J2 - IJSE VL - 8 PY - 2015 IS - 1 SP - 19 EP - 36 PG - 18 SN - 0974-3162 UR - https://m2.mtmt.hu/api/publication/32213913 ID - 32213913 LA - English DB - MTMT ER - TY - JOUR AU - Csaba, Szabó AU - Veronika, Szabóová TI - On Information System Architecture Supporting Acceptance Testing JF - EGYPTIAN COMPUTER SCIENCE JOURNAL J2 - EGYPTIAN COMP SCI J VL - 37 PY - 2013 IS - 4 SP - 14 EP - 21 PG - 8 SN - 1110-2586 UR - https://m2.mtmt.hu/api/publication/26672434 ID - 26672434 LA - English DB - MTMT ER -