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: Multi-Engine Data Analytics, Dr. Dimitrios Tsoumakos (Department of Informatics of the Ionian University, Greece), Monday, October 3, 2016, 15:00-16:00 EET.

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

Multi-Engine Data Analytics


Speaker: Dr. Dimitrios Tsoumakos
Affiliation: Department of Informatics of the Ionian University, Greece
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Monday, October 3, 2016
Time: 15:00-16:00 EET
Host: George Pallis (gpallis-AT-cs.ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/index.php#cs.ucy.2016.tsoumakos

The complexity of Big Data analytics has long outreached the capabilities of current platforms, which fail to efficiently cope with the data and task heterogeneity of modern workflows due to their adhesion to a single data and/or compute model. In this talk I present IReS, the Intelligent Resource Scheduler for complex analytics workflows executed over multi-engine environments. IReS is able to optimize a workflow with respect to a user-defined policy relying on cost and performance models of the required tasks over the available platforms. This optimization consists of allocating distinct workflow parts to the most advantageous execution and/or storage engine among the available ones and deciding on the exact amount of resources provisioned. Moreover, IReS can efficiently adapt to the current cluster/engine conditions and recover from failures by effectively monitoring the workflow execution in real-time. The current prototype supports 5 compute and 3 data engines, yet new ones can effortlessly be added to IReS by virtue of its engine-agnostic mechanisms.

Short Bio:
Dimitrios Tsoumakos is an Assistant Professor in the Department of Informatics of the Ionian University. He is also a collaborating researcher with the Computing Systems Laboratory of the National Technical University of Athens (NTUA). He received his Diploma in Electrical and Computer Engineering from NTUA in 1999, then joined the graduate program in Computer Sciences at the University of Maryland in 2000, where he received his M.Sc. (2002) and Ph.D. (2006). His research interests relate to both systemic and data management aspects of Distributed, Large-Scale Systems: Algorithms for big-data management over distributed platforms as well as optimization aspects of Cloud Computing.

  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.2016.tsoumakos.ics

Sponsor: The CS Colloquium Series is supported by a generous donation from Microsoft

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.