Essence: Data Engineering & Distributed Computing Systems

Networked Data Systems

Context: This research area is activated on in-network contextual data processing from information captured by wireless/mobile sensor networks and resource-constrained networks.

Top-5 Publications

  • Cziva, R., Anagnostopoulos, C. and Pezaros, D. P. (2018) Dynamic, Latency-Optimal vNF Placement at the Network Edge. In: IEEE Conference on Computer Communications (INFOCOM 2018), Honolulu, HI, USA, 15-19 Apr 2018, pp. 693--701 [paper]
  • Harth, N., Anagnostopoulos, C. and Pezaros, D. (2018) Predictive intelligence to the edge: impact on edge analytics. Evolving Systems, 9(2), pp. 95-118, [paper]
  • Anagnostopoulos, C. , Hadjiefthymiades, S. and Kolomvatsos, K. (2016) Accurate, dynamic, and distributed localization of phenomena for mobile sensor networks. ACM Transactions on Sensor Networks (TOSN), 12(2), 9, [paper]
  • Anagnostopoulos, C. , Kolomvatsos, K. and Hadjiefthymiades, S. (2015) Time-optimised user grouping in location based services. Computer Networks, Elsevier, 81, pp. 220--244, [paper]
  • Anagnostopoulos, C. and Hadjiefthymiades, S. (2014) Advanced principal component-based compression schemes for wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 11(1), 7, [paper]

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Predictive Computing

Context: This research area is activated on large-scale inferential analytics and predictive intelligence at the network edge.

Top-5 Publications

  • Cahsai, A. S., Anagnostopoulos, C. , Ntarmos, N. and Triantafillou, P. (2018) Revisiting Exact kNN Query Processing with Probabilistic Data Space Transformations. In: 2018 IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, 10-13 Dec 2018, [best student paper]
  • Cahsai, A., Anagnostopoulos, C. , Ntarmos, N. and Triantafillou, P. (2017) Scaling k-Nearest Neighbors Queries (The Right Way). In: 2017 IEEE 37th International Conference on Distributed Computing Systems (IEEE ICDCS 2017), Atlanta, GA, USA, 5-8 June 2017, pp. 1419--1430, [paper]
  • Anagnostopoulos, C. and Triantafillou, P. (2017) Query-driven learning for predictive analytics of data subspace cardinality. ACM Transactions on Knowledge Discovery from Data (TKDD), 11(4), 47, [paper]
  • Anagnostopoulos, C. and Triantafillou, P. (2017) Efficient Scalable Accurate Regression Queries in In-DBMS Analytics. In: IEEE International Conference on Data Engineering (IEEE ICDE 2017), San Diego, CA, USA, 19--22 Apr 2017, [paper]
  • Anagnostopoulos, C. and Triantafillou, P. (2014) Scaling out Big Data Missing Value Imputations: Pythia vs. Godzilla. In: 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM KDD 2014), New York, N.Y., U.S.A, 24-27 Aug 2014, pp. 651--660, [paper]

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Distributed Intelligence Systems

Context: This research area is activated on distributed context-/situation-aware computing adopting real-time stochastic optimization.

Top-5 Publications

  • Kolomvatsos, K. and Anagnostopoulos, C. (2019) Multi-criteria optimal task allocation at the edge. Future Generation Computer Systems, Elsevier, Volume 93, April 2019, Pages 358--372, [paper]
  • Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2017) Data fusion and type-2 fuzzy inference in contextual data stream monitoring. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), pp. 1839-1853, [paper]
  • Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2016) Distributed localized contextual event reasoning under uncertainty. IEEE Internet of Things Journal, 4(1), pp. 183--191, [paper]
  • Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2014) An efficient recommendation system based on the optimal stopping theory. Expert Systems with Applications,Elsevier, 41(15), pp. 6796--6806, [paper]
  • Anagnostopoulos, C. (2014) Time-optimized contextual information forwarding in mobile sensor networks. Journal of Parallel and Distributed Computing,Elsevier 74(5), pp. 2317-2332, [paper]

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