Particle Model to Optimize Enterprise Computing
Dianxun Shuai, Qing Yan Shuai, Yuzhe Liu, Liangjun Huang · 2007
This paper presents a novel generalized particle model (GPM) for the parallel optimization of enterprise computing. Since enterprise computing always involves the resource allocation, task assignment, and behavior coordination, without loss of generality, the proposed GPM is devoted to the optimization of enterprise computing in the context of the resource allocation and task assignment in complex environment. GPM transforms the optimization of enterprise computing into the kinematics and dynamics of massive particles in a force-field. The GPM approach has many advantages in terms of the high-scale parallelism, multi-objective optimization, multi-type coordination, multi-degree personality, and the ability to handle complex factors. Simulations have shown the effectiveness and suitability of the proposed GPM approach to optimize the enterprise computing.