吉林大学学报(信息科学版) ›› 2022, Vol. 40 ›› Issue (2): 295-300.

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基于生产函数的云计算 QoS 任务调度算法

邓斌涛, 徐胜超   

  1. 广州华商学院 数据科学学院, 广州 511300
  • 收稿日期:2021-07-09 出版日期:2022-06-11 发布日期:2022-06-12
  • 作者简介:邓斌涛(1966— ), 男, 广州人, 广州华商学院工程师, 主要从事计算机应用研究, ( Tel) 86-13824483568 ( E-mail)dengbintao_2020@ 126. com; 徐胜超(1980— ), 男, 武汉人, 广州华商学院讲师, 主要从事并行分布式处理软件研究,(Tel)86-13768173658(E-mail)isdooropen@ 126. com.
  • 基金资助:
    广州华商学院校内导师制科研基金资助项目(2021HSDS30)

Task Scheduling Algorithm of Cloud Computing QoS Based on Production Function

DENG Bintao, XU Shengchao   

  1. School of Date Science, Guangzhou Huashang College, Guangzhou 511300, China
  • Received:2021-07-09 Online:2022-06-11 Published:2022-06-12

摘要: 针对目前采用的算法对云计算 QoS(Quality of Service)任务进行调度时, 存在调度时间较长且用户满意度 低的问题, 在考虑用户需求的基础上, 引入生产函数构建云计算 QoS 任务调度目标函数。 采用离散粒子群优化 算法通过调度运算和截止时间约束的搜索空间, 建立适应度函数并获取最优值。 通过求解目标函数获取最优 调度方案, 实现云计算 QoS 任务的调度。 实验结果表明, 所提算法的用户满意度高和调度效率都得到提高。

关键词: 生产函数; , 云计算; , 目标函数; , 任务调度

Abstract: When using the current algorithm to schedule cloud computing QoS(Quality of Service) tasks, the scheduling time is long and the user satisfaction is low. Therefore, based on the user needs, the production function is introduced to build the cloud computing QoS task scheduling objective function. DPSO( Discrete Particle Swarm Optimization) algorithm is used to establish fitness function and obtain the optimal value through scheduling operation and deadline constrained search space. By solving the objective function to obtain the optimal scheduling scheme, the cloud computing QoS task scheduling is realized. Experimental results show that the proposed algorithm has high user satisfaction and scheduling efficiency.

Key words: production function; , cloud computing; , objective function; , task scheduling

中图分类号: 

  • TP393. 09