In contrast, we expect that a properly designed aggregation scheme will sustain a number of clients that is an order of magnitude larger. The talk will propose a heuristic approach as well as a mathematical model to deal with the problem of data grouping. We have also implemented a multicasting protocol to go with this approach for improved performance. A number of research issues remain to be investigated in this important segment of future applications. A prototype has been developed on top of a beta-version of an industry product.
Performance studies are currently in progress.
Speaker Information Shamkant Navathe is a professor at the College of Computing, Georgia Institute of Technology, Atlanta. He is well-known for his work on database modeling, database conversion, database design, distributed database allocation, and database integration. He has worked with IBM and Siemens in their research divisions and has been a consultant to various companies including Digital, CCA, HP and Equifax. His current research interests include object-oriented and multimedia databases, human genome data management, intelligent information retrieval, and mobile disconnected databases. Navathe holds a Ph.D. from the University of Michigan and has over 100 refereed publications.