New Paper Publication

2020-10-29 00:00:00 +0300

A new paper was accepted for publication in the the 6th IEEE International Conference on Data Science and Systems.

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.

The paper discusses how to combine Fuzzy Logic and forecasting techniques to distribute data synopses in a group of edge nodes. The aim is to manage the uncertainty in detecting significant differences upon consequent data synopses before concluding the decision for their distribution in the network.

New Publications

2020-10-23 00:00:00 +0300

Two new papers were accepted for publication in two conferences: IEEE International Symposium on Network Computing and Applications (NCA) & 19th International Conference on Ubiquitous Computing and Communications (IUCC)

A. 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.

B. 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.

The first paper deals with the uncertainty management in the placement of a workflow upon Cloud virtualized resources while the second proposes a probabilistic approach for tasks offloading at the edge of the network.

New Paper Publication

2020-10-03 00:00:00 +0300

A new paper was accepted for publication in the IoT Journal of MDPI

Kolomvatsos, K., Anagnostopoulos, C., ‘A Deep Learning Model for Demand-driven, Proactive Tasks Management in Pervasive Computing’, IoT, MDPI, 2020.

The paper deals with an LSTM for tasks offloading at the edge of the network.

New Paper Publication

2020-09-05 00:00:00 +0300

A new paper was accepted for publication in the IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)

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.

The paper proposes an optimal stopping scheme for exchanding data synopses at the edge. We define the notion of data update quantum and monitor its evolution as new data are collected by the environment.

New Paper Publication

2020-08-26 00:00:00 +0300

A new paper was accepted for publication in the ACM Transactions on Knowledge Discovery from Data (ACM TKDD)

F. Savva, C. Anagnostopoulos, P. Triantafillou, K. Kolomvatsos, ‘Large-scale Data Exploration using Explanatory Regression Functions’, ACM Transactions on Knowledge Discovery from Data (ACM TKDD).

The paper proposes the exploration and understanding data subspaces by contributing a novel explanation mechanism based on Machine Learning.

New Paper Publication

2020-08-26 00:00:00 +0300

A new paper was accepted for publication in the ACM Transactions on Internet Technology (ACM TOIT)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) ‘An intelligent edge-centric queries allocation scheme based on ensemble models’. ACM Transactions on Internet Technology (ACM TOIT)

The paper deals with the meta-ensemble ML scheme for allocating queries in a set of processing nodes upon their contextual information.

IEEE WCCI 2020 Conference

2020-08-26 00:00:00 +0300

“A Demand-driven Proactive Tasks Management Model at the Edge”, A. Karanika, P. Oikonomou, K. Kolomvatsos, T. Loukopoulos IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2020, Glasgow, UK

Session: Human-in-the-Loop Interactions in Fuzzy Reasoning and Machine Learning. (EU/MSCA-IF/INNOVATE)

Visit the following link for the presentation.link

CD-MAKE Conference 2020

2020-08-26 00:00:00 +0300

The CD-MAKE Conference starts at August 25th. In this conference, we present our paper A. Karanika. P. Oikonomou, K. Kolomvatsos, C. Anagnostopoulos, ‘An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge’ at August 28th, 1130, Session: CD-MAKE VII. The paper proposes an ensemble scheme for the management of interpretability of ML models.

Visit the following link for the presentation.link