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Issue No. 10 - October (2006 vol. 18)
ISSN: 1041-4347
pp: 1352-1367
A. Bagchi , Department of Computer Science and Engineering IIT, Hauz Khas, New Delhi, India
A. Chaudhary , Department of Computer Science and Engineering, University of Notre Dame, 384 Fitzpatrick, Notre Dame, IN
M.T. Goodrich , Department of Computer Science, Bren School of Information and Computer Sciences, University of California at Irvine, Irvine, CA
Chen Li , Department of Computer Science, Bren School of Information and Computer Sciences, University of California at Irvine, Irvine, CA
M. Shmueli-Scheuer , Department of Computer Science, Bren School of Information and Computer Sciences, University of California at Irvine, Irvine, CA
ABSTRACT
Many database applications that need to disseminate dynamic information from a server to various clients can suffer from heavy communication costs. Data caching at a client can help mitigate these costs, particularly when individual PUSH-PULL decisions are made for the different semantic regions in the data space. The server is responsible for notifying the client about updates in the PUSH regions. The client needs to contact the server for queries that ask for data in the PULL regions. We call the idea of partitioning the data space into PUSH-PULL regions to minimize communication cost data gerrymandering. In this paper, we present solutions to technical challenges in adopting this simple but powerful idea. We give a provably optimal-cost dynamic programming algorithm for gerrymandering on a single query attribute. We propose a family of efficient heuristics for gerrymandering on multiple query attributes. We handle the dynamic case in which the workloads of queries and updates evolve over time. We validate our methods through extensive experiments on real and synthetic data sets
INDEX TERMS
Network servers, Road transportation, Costs, Telecommunication traffic, Web server, Wireless networks, Databases, Dynamic programming, Heuristic algorithms, Partitioning algorithms
CITATION

A. Bagchi, A. Chaudhary, M. Goodrich, Chen Li and M. Shmueli-Scheuer, "Achieving Communication Efficiency through Push-Pull Partitioning of Semantic Spaces to Disseminate Dynamic Information," in IEEE Transactions on Knowledge & Data Engineering, vol. 18, no. 10, pp. 1352-1367, 2008.
doi:10.1109/TKDE.2006.153
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