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: Dataflow Systems for Large-scale Data Analytics, Dr. Herodotos Herodotou (Cyprus University of Technology, Cyprus), Monday, November 24, 2014, 16:30-17:30 EET.


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

Dataflow Systems for Large-scale Data Analytics

 

Speaker: Dr. Herodotos Herodotou
Affiliation: Cyprus University of Technology, Cyprus
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Monday, November 24, 2014
Time: 16:30-17:30 EET
Host: Demetris Zeinalipour (dzeina-AT-cs.ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/index.php#cs.ucy.2014.herodotou

Abstract:
Timely and cost-effective analytics over “big data” has emerged as a key ingredient for success in many businesses, scientific and engineering disciplines, and government endeavors. Web clicks, social media, scientific experiments, and datacenter monitoring are among data sources that generate vast amounts of raw data every day. The need to convert this raw data into useful information has spawned considerable innovation in systems for large-scale data analytics, especially over the last decade. This talk covers the design principles and core features of recent dataflow systems for analyzing very large datasets using massively-parallel computation and storage techniques on large clusters of nodes. The dataflow systems are described along a number of dimensions including data model and query interface, storage layer, execution engine, query optimization, scheduling, resource management, and fault tolerance.

Short Bio:
Herodotos Herodotou is a tenure-track Lecturer in the Electrical Engineering and Computer Engineering and Informatics (EECEI) department at the Cyprus University of Technology. He received his Ph.D. in Computer Science from Duke University in May 2012. His Ph.D. dissertation work received the SIGMOD Jim Gray Doctoral Dissertation Award Honorable Mention as well as the Outstanding Ph.D. Dissertation Award in Computer Science at Duke. His research interests are in large-scale Data Processing Systems and Database Systems. In particular, his work focuses on ease-of-use, manageability, and automated tuning of both centralized and distributed data-intensive computing systems. In addition, he is interested in applying database techniques in other areas like scientific computing, bioinformatics, and numerical analysis. His work experience includes research positions at Microsoft Research, Yahoo! Labs and Aster Data as well as software engineering internships at Microsoft and RWD Technologies.

Note:
The presentation will be recorded and become available through the following URL: https://www.cs.ucy.ac.cy/index.php/en/cs-video-gallery/cs-colloquiums-videos

Multimedia File Available:
 Multimedia File

  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.2014.herodotou.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.