Benchmarking Database Systems in Multiple Backend Configurations,

The aim of this performance is twofold 1 to devise benchmarking strategies for and apply benchmarking methodologies to the measurement of a prototype database system in multiple backend configurations, and 2 to verify the performance claims as projected or predicted by the designer and implementer of the multi-backend database system known as MBDS. Despite the limitation of the backend hardware, the benchmarking experiments have proceeded well, producing startling results and good insights. By collecting macrorscopic data such as the response time of the request, the external performance measurements of MBDS have been conducted. The performance evaluation studies verify that a when the database remains the same the response time of a request can be reduced to nearly half, if the number of backends and their disks is doubled b when the response set of a request doubles, the response time of the query remains nearly constant, if the number of backends and their disks is doubled. These were the performance claims of MBDS as predicted by its designer and implementor. Author