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<p>A methodology is presented for evaluating the performance of database update schemes in a distributive environment. The methodology makes use of the history of how data are used in the database. Parameters such as update-to-retrieval ratio and average file size can be set based on the actual characterization of a system. The analysis is specifically directed toward the support of derived data within the relational model. Because concurrency is a major problem in a distributive system, the support of derived data is analyzed with respect to three distributive concurrency control techniques: master/slave, distributed, and synchronized.</p>
distributed databases; queueing theory; performance analysis; database update schemes; distributive systems; relational model; concurrency control; database theory; distributed databases; performance evaluation; queueing theory; relational databases

C. Hughes and K. Kinsley, "Evaluating Database Update Schemes: A Methodology and its Applications to Distributive Systems," in IEEE Transactions on Software Engineering, vol. 14, no. , pp. 1081-1089, 1988.
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