Particle model to optimize resource allocation and task assignment

Authors:
Dianxun Shuai;Qing Shuai;Yumin Dong
Affiliations:
East China University of Science and Technology, Shanghai 200237, China;Department of Sociology, Huazhong University of Science and Technology, Wuhan 430074, China;Computer Network Center, Qingdao Technological University, Qingdao 266033, China
Venue:
Information Systems
Year:
2007

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Abstract

This paper presents a novel generalized particle model for the parallel optimization of the resource allocation and task assignment in complex environment of enterprise computing. The generalized particle model (GPM) transforms the optimization process 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 show the effectiveness and suitability of the proposed GPM approach to optimize the enterprise computing.