广东工业大学学报 ›› 2016, Vol. 33 ›› Issue (04): 18-22.doi: 10.3969/j.issn.1007-7162.2016.04.004

• 综合研究 • 上一篇    下一篇

网络运维中现场作业任务调度的研究

许青林1, 徐峰1, 肖红1, 刘沧生1, 熊梦琪1, 王志2   

  1. 1.广东工业大学 计算机学院,广东 广州510006; 2.广东怡创科技股份有限公司,广东 广州510006
  • 收稿日期:2015-09-04 出版日期:2016-08-02 发布日期:2016-08-02
  • 作者简介:许青林(1963-),男,副教授,主要研究方向为云计算、软件工程和企业信息化.
  • 基金资助:

    国家自然科学基金-广东联合基金重点项目(U1401251);广州市科技计划项目(2014Y2-00204,2014Y2-00154)

A Research on Field Job Scheduling in Network Operation and Maintenance

Xu Qin-lin1, Xu Feng1, Xiao Hong1, Liu Cang-sheng1, Xiong Meng-qi1, Wang Zhi2   

  1. 1.School of Computers, Guangdong University of Technology, Guangzhou 510006, China; 2.Guangdong Iscreate Polytron Technologies Inc, Guangzhou 510006, China
  • Received:2015-09-04 Online:2016-08-02 Published:2016-08-02

摘要:

针对网络运维现场作业调度中大量作业任务请求时效率低下、作业任务有所改变时无法自行调整等问题,提出基于改进遗传算法的网络运维中现场作业调度算法.该算法基于作业任务-资源的间接编码方式,结合网络运维中现场作业资源调度的特点,通过对每个维护人员设置作业任务数量的上限,避免某个维护人员负担任务数量过多,有利于提高服务质量以及资源的利用率.经过仿真实验,结果表明使用遗传算法可有效解决网络运维中资源调度问题.

关键词: 遗传算法; 资源调度; 现场作业; 遗传算子

Abstract:

Due to the scheduling inefficiency in a large number of job requests for the network operation and maintenance of field operations and the jobs being unable to change adjustment issue, an on-site job scheduling algorithm based on improved genetic algorithm for network operation and maintenance is established. The algorithm is based on job-indirect encoding resources, combined with network operation and maintenance of on-site job resource scheduling features, by setting the upper limit of the number of jobs for each maintenance personnel to avoid excessive burden on maintenance staff, thus helping to improve the quality of service and resource utilization. The simulation results show that the use of genetic algorithms is effective in solving the network operation and maintenance resource scheduling.

Key words: generic algorithm; resource scheduling; field operation; genetic operators

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!