Talks & Seminars
Adaptive Query Processing with Eddies
Prof. Amol Deshpande, University of Maryland, College Park
Date & Time: January 10, 2006 14:00
Venue: SIC 301, 'C' Block, 03rd Floor, KReSIT
Adaptive query processing has emerged as an attractive solution to dynamically changing runtime environments, and unknown data distributions in many scenarios. These scenarios involve querying over web sources where little information is usually available about the data sources, continuous query processing where the data characteristics change frequently, and even single site database systems where in many cases, only unreliable statistics are available. Probably the most aggressive of the adaptive query processing techniques proposed is eddies, which continuously reoptimizes a query by changing the order in which operators are applied to tuples on a per-tuple basis.

In this talk, I will present an overview of the eddies architecture as originally proposed by Avnur and Hellerstein (SIGMOD 2000), and discuss some of the follow-up work on it (Madden et al SIGMOD 2002, Raman et al ICDE 2003, Deshpande et al VLDB 2004), especially in the context of continuous query processing over data streams. I will also present and discuss some of the open problems in this area in detail.
Speaker Profile:
Amol Deshpande is an Assistant Professor at University of Maryland at College Park. He received his B.Tech. from IIT Bombay, and his Ph.D. from UC Berkeley in 2004. His research interests are Database Management Systems, in particular, query processing and optimization in database systems, data management in Sensor Networks, and integration of probabilistic and statistical models into database systems.
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