Performance analysis of resiliency mechanisms in distributed database systems

Degradation in system performance due to component failures is an important factor that prevents a distributed database management system (DDBMS) from achieving its full potential of better availability, response time, and system throughput. Resiliency mechanisms that help to continue system operation in spite of failures introduce overhead due to the need to maintain redundant information. Earlier performance studies of DDBMS have either altogether ignored failure or studied only limited aspects of the effect of failures and performance of resiliency mechanisms. In this paper an analytical model is used to comprehensively characterize the effect of failures and resiliency mechanisms on the performance of DDBMS. Two new performance measures are introduced. The methodology is illustrated by comparatively evaluating the performance of three algorithms.