Date/Time
Date(s) - 26/09/2022
2:00 pm - 3:00 pm
Location
University of Glasgow
Abstract
Nowadays, the advent of the Internet of Things (IoT) provides a huge infrastructure where numerous devices collect and process data from their environment. Due to the limited computational capabilities of IoT devices, the adoption of the Edge Computing (EC) can provide an additional layer of processing to offer more computational resources. In the EC, one can find an increased number of nodes that can collaborate each other and, collectively, support advanced processing activities very close to end-users enhancing the pervasiveness of services/applications. Usual collaborative activities can be placed around the exchange of data or services (e.g., data/services migration) or offloading actions for tasks demanding a specific processing workflow upon the collected data.
In this talk, I will introduce the need for the adoption of proactive models that, based on data-aware reasoning mechanisms, are capable of efficiently managing data, services and tasks present at every individual EC node. I will elaborate on the characteristics that any future inference model should have and on the need of processing the surrounding contextual information. Additional requirements involve the presence of monitoring schemes for specific parameters to know when and how to perform data/tasks/services management activities in a collaborative manner. The aforementioned contextual information is not only related to the individual EC nodes, but also to the information related to the status of peer nodes. Any decision-making scheme could be built upon the minimum and sufficient information representing crucial parameters of the EC nodes behaviour to secure its viability without jeopardizing the performance of the network.
Short CV
Dr Konstantinos (Kostas) Kolomvatsos received his BSc in Informatics from the Department of Informatics, Athens University of Economics and Business, MSc in Computer Science, New Technologies in Informatics and Telecommunications (2005), and PhD in Computer Science from the Department of Informatics and Telecommunications at the University of Athens (2013). He was a Marie Skłodowska Curie Fellow at the School of Computing Science, University of Glasgow, 2018-2020. Currently, he serves as an Assistant Professor in the Department of Informatics and Telecommunications, University of Thessaly. He is the founder of the Intelligent Pervasive Systems (iPRISM) research group and the Director of the Intelligent Systems for Orchestrating Pervasive Computing Applications (METIS). He serves as a PI in various National and EU/H2020 projects. His research interests are in the intersection of Intelligent Systems, Computational Intelligence, and Pervasive Data Science. He is the author of over 130 publications in the aforementioned areas.
