CS Colloquium Series @ UCY

Department of Computer Science - University of Cyprus

The Department of Computer Science at the University of Cyprus holds research colloquiums and social hours approximately once weekly. All university students, faculty, and staff are invited to attend. Notifications about new and upcoming events are automatically disseminated to a variety of institutional lists.
If you don't receive these notifications, but want to get informed about upcoming colloquium announcements, you can do the following:
mail List rss RSS Directions Directions

Colloquium Coordinator: Demetris Zeinalipour

Colloquium: Data Stream Processing and Querying at the Edge, Dr. George Pallis (University of Cyprus, Cyprus), Tuesday, November 5, 2019, 10:00-11:00 EET.


The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:

Data Stream Processing and Querying at the Edge

 

Speaker: Dr. George Pallis
Affiliation: University of Cyprus, Cyprus
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Tuesday, November 5, 2019
Time: 10:00-11:00 EET
Host: Prof. Yannis Dimopoulos (yannis-AT-cs.ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/index.php#cs.ucy.2019.pallis

Abstract:
With the rapid integration of massive amounts of data and proliferation of new devices (e.g., smart mobile devices, drones, Internet-of-Things (IoT), etc.), today’s network system infrastructures are being stretched to their limits. Although edge computing brings the computation closer to both delay-sensitive services and interested users, the challenges restricting the cloud model still remain. In addition, as the plethora of data generated across connected devices continues to vastly increase, the need to query the “edge” so as to derive in-time analytic insights is more evident than ever. In this talk, I will present three novel adaptive monitoring frameworks and a query-driven framework for streaming analytics in edge computing deployments. First, I will present the AdaM framework, which dynamically adjusts the monitoring intensity and the amount of data disseminated through the network based on a runtime estimation model capturing the current data evolution and variability. By accomplishing this, energy consumption and data volume are reduced, allowing IoT devices to preserve battery and ease processing at data consuming services, while still preserving accuracy. Then, I will present the ADMin framework. Rather than transmitting the entire stream, ADMin favors sending updates for its estimation model from which values can be inferred, triggering dissemination only when shifts in the stream evolution are detected. This is achieved by efficiently adapting the rate at which IoT devices disseminate monitoring streams based on run-time knowledge of the stream evolution, variability and seasonal behavior. The third framework that I will present is called ATMoN and focuses on dynamic networks. Specifically, ATMoN framework dynamically adjusts the temporal granularity graph metrics which are computed based on runtime knowledge captured by a low-cost probabilistic learning model approximating both the metric stream evolution and the runtime volatility of the graph topology. This computationally offloads graph processing engines and eases the communication overhead in edge computing networks where the wealth of data dissemination is plentiful. Next, I will present the StreamSight which is a novel framework that provides a rich and declarative query model abstraction for expressing complex analytics on monitoring data streams and then dynamically compiling these queries into stream processing jobs for continuous execution on distributed processing engines. Finally, I will conclude the talk with an overview to our current and future research agenda.

Short Bio:
George Pallis received his BSc (2001) and Ph.D. (2006) degree in Department of Informatics of Aristotle University of Thessaloniki (Greece). Currently, he is assistant professor at the Computer Science Department, University of Cyprus and Associate Director of Laboratory of Internet Computing. Previously, he was lecturer and Marie-Curie fellow at the Computer Science Department, University of Cyprus. His research interests include Cloud computing with focus on Cloud elasticity and monitoring, Edge Computing and Big Data Analytics. He is principal institutional investigator in research projects funded by EC, Research Promotion Foundation in Cyprus, and industry (e.g., Google) and has totally attracted more than 4.5M euro. Dr. Pallis has published over 70 papers in international journals (e.g., IEEE TKDE, IEEE TCC, IEEE TSC, ACM TOIT etc), magazines (e.g., CACM, IEEE Internet Computing) and conferences (e.g., INFOCOM, IPDPS, ICDCS, IEEE BIG DATA etc) and he is contributor of two international DIN (German Institute for Standardization) standards. His papers have been cited more than 3600 times. Dr. Pallis has served as PC-Co-chair of CloudCom 2018 and CCGrid 2019. Dr. Pallis has also served in numerous Program and Organization Committees for international conferences (WWW, ICDCS, etc) and he received the best paper awards in the IEEE Big Data Conference (IEEE BIG DATA 2016) and the International Conference on Service-Oriented Computing (ICSOC 2014). In 2019, Dr. Pallis served as guest editor for the edge computing special issue on the prestigious Proceedings of the IEEE journal. He is Editor in Chief in the IEEE Internet Computing magazine, Associate Editor in the IEEE Transactions on Cloud Computing and Associate Editor in the Computing Journal (Springer).

Note:
This colloquium is part of the speaker's procedure for evaluation and promotion from Assistant Professor to Associate Professor.

  Web: https://www.cs.ucy.ac.cy/colloquium/
  Mailing List: https://listserv.cs.ucy.ac.cy/mailman/listinfo/cs-colloquium
  RSS: https://www.cs.ucy.ac.cy/colloquium/rss.xml
  Calendar: https://www.cs.ucy.ac.cy/colloquium/schedule/cs.ucy.2019.pallis.ics




View all Colloquia

Note: The above page was generated automatically from file https://www.cs.ucy.ac.cy/colloquium/rss.xml
Copyright © University of Cyprus - Credits: Demetris Zeinalipour - Created by IT support team.