Computer Performance and Evaluation Utilizing the Resource Planning and Management System

A review of current computer performance and evaluation tech-niques reveals a lack of an acceptable analytic tool for optimal computer system performance and evaluation. A generalized approach to the formulation of a third generation computer system model is proposed. The approach is used to opti-mize computer resource utilization and to obtain an upper bound on the system throughput level. The Stimler computer model is represented as a Resource Planning and Management System (RPMS) network and optimized by Linear programming algorithms. The results are portrayed by an adaptation of the Kiviat graph technique. An application of finite state and context-free grammar theory led to extensions of the current RPMS theory in the form of postulates dealing with compaction, de-composition, and expansion. Future areas to be exploited include multi-objective goal pro-gramming, integer programming, stochastic programming, and functional level analysis