Optimal Partitioning of a Multicore Server Processor

Abstract

Optimal partitioning of a multicore server processor in a cloud computing environment, i.e., optimal system (virtual server) configuration for some given types of applications is considered in this paper. Such optimization is important for dynamic resource provision and on-demand server customization in a cloud computing environment for certain specific types of applications, such that the overall system performance is optimized. A multicore server processor is treated as a group of queueing systems with multiple servers, i.e., M/M/m queueing systems. The system performance measure is the average task response time. The problem of optimal multicore server processor partitioning is formulated and solved. The above problem is a well defined optimization problem. We show that although the problem is sophisticated, it can be solve by a numerical algorithm. Numerical data are demonstrated for the problem.