Particle model to optimize resource allocation and task assignment

作者：Shuai Dianxun^*; Shuai Qing; Dong Yumin

来源：Information Systems, 2007, 32(7): 987-995.

DOI：10.1016/j.is.2006.10.003

• optimization
• resource allocation
• task assignment
• enterprise computing
• generalized particle
• non-linear dynamics
• parallel algorithm

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.

• 出版日期2007-11
• 单位青岛理工大学; 华中科技大学; 华东理工大学