SEECS Colloquium

In this talk, I will present strategies by which large scale data can be distributed, scheduled and processed, on networked systems. Although co-operative sharing and computing is always been targeted in such networked systems, issues regarding data dissemination and scheduling still poses considerable challenge to the researchers in computing domain. Divisible Load Theory (DLT) is proven to be one of the valuable tools to handle such large volume loads on networks and it is shown to be a new calculus for load sharing problems. This theory became a part of mainstream computer science/engineering research since 1988 and since then there has been a considerable research interest among researchers elsewhere. I will present an overview of this theory and highlight the so far generated key results till date. I will then show the applicability of this theory to multimedia movie retrieval problem (or in general to a large volume data retrieval) from network systems. I will end the talk with some open-ended issues and problems.

Bharadwaj Veeravalli received his BSc in Physics, from Madurai-Kamaraj University, India in 1987, Masters Degree in Electrical Communication Engineering from Indian Institute of Science, Bangalore, India in 1991 and PhD from Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India in 1994. He did his post-doctoral research in the Department of Computer Science, Concordia University, Montreal, Canada, in 1996. He is currently with the Department of Electrical Engineering in the Computer Engineering Division at The National University of Singapore, Singapore, as an Assistant Professor. He is a member of IEEE and IEEE Computer Society. His research interests include High speed heterogeneous computing, Scheduling in parallel and distributed systems, Multimedia computing, Web-Caching, and Distributed Databases. He is one of the earliest researcher in the field of divisible load theory and is the principal author of the book entitled Scheduling Divisible Loads in Parallel and Distributed Systems, published by IEEE Computer Society, Los Alamitos, CA, USA, August 1996.