Using Load Dependent Servers to Reduce the Complexity of Large Client-Server Simulation Models
Performance Engineering, State of the Art and Current Trends
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Our research focuses on reducing the computing time in large simulation models of client-server architectures by replacing server models by load dependent servers (LDSs), whose solution requires less computational effort. As these LDSs include overhead information, it is necessary to design a set of measurements for collecting overhead data. We are proposing a methodology that indicates how to reduce the amount of measurements and how to model overhead by means of regression analysis. In this work we explain how the methodology is applied to a workload composed of TPC-C transactions that runs in a server with Solaris 2.5 operating system (OS). Also, we describe the construction of the LDS. At the end of the article, we compare the LDS predictions with measurements of the TPC-C benchmark.