Solving Scheduling Problem of Cloud Computing by Discrete PSO with Simulate Anneal Algorithm

ZHAO Xuan; WEI Cheng-jian; WANG Kai; LIU Kai

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Solving Scheduling Problem of Cloud Computing by Discrete PSO with Simulate Anneal Algorithm

更新时间：2026-09-04

- Solving Scheduling Problem of Cloud Computing by Discrete PSO with Simulate Anneal Algorithm
- Vol. 30, Issue 5, Pages: 137-140(2013)
- 作者机构：
  
  1. 1 南京工业大学机构电子与信息工程学院,江苏,南京,210009
  2. 2 东南大学信息科学与工程学院,江苏,南京,210018
  3. 3 解放军理工大学国防工程学院,江苏,南京,210017
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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赵轩, 蔚承建, 王开, 刘凯. 离散PSO结合模拟退火算法解决云调度问题[J]. 微电子学与计算机, 2013, 30(5): 137-140.

ZHAO Xuan, WEI Cheng-jian, WANG Kai, et al. Solving Scheduling Problem of Cloud Computing by Discrete PSO with Simulate Anneal Algorithm[J]. 2013, 30(5): 137-140.
赵轩, 蔚承建, 王开, 刘凯. 离散PSO结合模拟退火算法解决云调度问题[J]. 微电子学与计算机, 2013, 30(5): 137-140. DOI：

ZHAO Xuan, WEI Cheng-jian, WANG Kai, et al. Solving Scheduling Problem of Cloud Computing by Discrete PSO with Simulate Anneal Algorithm[J]. 2013, 30(5): 137-140. DOI：

摘要

本文以最小化工作流中任务完成所需的总的综合执行成本为目标

用一种改进的离散形式的粒子群算法并引入模拟退火机制和混沌机制来完成调度工作

并用实验证明该算法可行高效.

Abstract

This thesis will propose a modified discrete PSO with simulate anneal algorithm to solve the scheduling problem of cloud computing and to minimize the general cost

at the last

we provide experiments for proving the algorithm feasibility and efficiency.

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