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A rotary chaotic PSO algorithm for trustworthy scheduling of a grid workflow

机译:用于网格工作流程可信赖调度的旋转混沌PSO算法

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In this paper, a rotary chaotic particle swarm optimization (RCPSO) algorithm is presented to solve trustworthy scheduling of a grid workflow. In general, the grid workflow scheduling is a complex optimization problem which requires considering various scheduling criteria so as to meet a wide range of QoS requirements from users. Traditional researches into grid workflow scheduling mainly focus on the optimization constrained by time and cost. The key requirements for reliability, availability and security are not considered adequately. The main contribution of this study is to propose a new approach for trustworthy workflow scheduling in a large-scale grid with rich service resources, and present the RCPSO algorithm to optimize the scheduling performance in a multi-dimensional complex space. Experiments were done in two grid applications with at most 120 candidate services supplied to each task of various workflows. The results show better performance of the RCPSO in solving trustworthy scheduling of grid workflow problems as compared to GA, ACO and other recent variants of PSO.
机译:本文提出了一种旋转混沌粒子群算法(RCPSO)来解决网格工作流的可信调度问题。通常,网格工作流调度是一个复杂的优化问题,需要考虑各种调度标准,才能满足用户的各种QoS要求。网格工作流调度的传统研究主要集中在受时间和成本约束的优化上。可靠性,可用性和安全性的关键要求未得到充分考虑。这项研究的主要贡献是为具有丰富服务资源的大型网格中的可信赖工作流调度提出了一种新方法,并提出了RCPSO算法来优化多维复杂空间中的调度性能。在两个网格应用程序中进行了实验,最多为各种工作流的每个任务提供了120个候选服务。结果表明,与GA,ACO和其他PSO变体相比,RCPSO在解决网格工作流问题的可信赖调度方面具有更好的性能。

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