Measuring the effect of data distribution and replication models on performance evaluation of distributed database systems

R. Mukkamala
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引用次数: 4

Abstract

The effect of assumptions about data distribution and replication on the performance measures as well as the computational complexity and accuracy of performance evaluations is investigated. The size of the participating node set of a transaction is chosen as the desired performance measure. Probabilistic analysis is used to evaluate six models. It is concluded that even though some of the data distribution and replication models appear to be simplistic, the results obtained from them are very close to those from complex models.<>
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测量数据分布和复制模型对分布式数据库系统性能评估的影响
研究了数据分布和复制假设对性能度量的影响,以及性能评估的计算复杂度和准确性。选择事务的参与节点集的大小作为所需的性能度量。采用概率分析方法对六个模型进行了评价。结果表明,尽管某些数据分布和复制模型看起来过于简单,但其结果与复杂模型的结果非常接近。
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