Abstract

In this paper we propose a database partitioning method that provides efficient response times for distributed web services transaction executions. Our partitioning and allocation approach aims at finding the optimal response time by reducing the cost of distributed data accesses, the cost of data replication, and using parallel execution as a cost-savings technique. We also seek to make the strategy work with dynamic workloads and distributed environments. For this, we develop a framework with a three-phased approach, which we outline in this paper.

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