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Particle model to optimize resource allocation and task assignment
DOI:10.1016/j.is.2006.10.003.png)
摘要
En 中文
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. (c) 2006 Elsevier B.V. All rights reserved.
Keyword:
optimization
resource allocation
task assignment
enterprise computing
generalized particle
non-linear dynamics
parallel algorithm
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3.9
论文数:
2.8K
被引数:
1.8K
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