Cluster Computing and Performance Measurement

There is a continual demand for greater computational power from computer systems than is currently possible. Areas requiring great computational speed include numerical simulation of scientific and engineering problems. Such problems often need huge quantities of repetitive calculations on large amount of data to give valid results. Cluster computing offers many advantages as a highly cost-effective and often scalable approach for high-performance computing in general. To achieve the full potential of high performance computing systems, centralized configuration services are the starting point. For a large scale of projects, cluster computing is required where it is supposed to be optimized for the system topology and management of the project. This paper presents the consequences of using cluster computing and performance management and the consequences without this technology. The experimental results of this paper highlight the affects of the design of this service and provide a comprehensive performance analysis of the project