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Colloquium - Seshadri

Sequence Data Management
University of Wisconsin

Database systems are increasingly trying to support new kinds of complex data. My research studies how a database system can support "sequences", which are complex data collections representing ordered information. There are two distinct aspects to this talk. The first aspect deals with the data model for sequences, an algebraic framework for sequence queries, and techniques for query optimization and evaluation.

The second aspect deals with the practical design of a database system supporting sequences. The primary design issue is how sequences interact with relations and other complex data types. I tackle this issue using a novel loosely-coupled paradigm based on an Enhanced notion of Abstract Data Types(E-ADTs). The SEQ database system has been implemented using this design paradigm, resulting in efficient support for sequences. Extrapolating from this experience, I propose that E-ADTs may well be the design of choice for next-generation database systems supporting complex data types.

Department of Computer Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
May 5, 2012 (14:13)