location:Home > 2021.Vol4.Sep.NO3 > Grid Task Scheduling Method Based on Ant Colony Algorithm

2021.Vol4.Sep.NO3

  • Title: Grid Task Scheduling Method Based on Ant Colony Algorithm
  • Name: Rutvij H. Jhaveri
  • Company: School of Technology, Pandit Deendayal Energy University, India
  • Abstract:

     at present, the grid task scheduling method does not use mathematical method to describe the task scheduling model, which leads to the scheduling method. When scheduling grid tasks, the task completion time is long, and the resource load is seriously unbalanced. Therefore, the grid task scheduling method based on ant colony algorithm is proposed. Determine the running process of the model and establish the scheduling model; use ant colony algorithm to describe the scheduling model mathematically, and determine the grid task scheduling steps according to the running process of the model. Experimental results: design two groups of methods comparative experiment, the scheduling method of this study, scheduling task completion time is short, has better resource load balancing ability.


  • Keyword: ant colony algorithm; grid; task scheduling; scheduling method;
  • DOI: 10.12250/jpciams2021090305
  • Citation form: Rutvij H. Jhaveri.Grid Task Scheduling Method Based on Ant Colony Algorithm [J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.22-24
Reference:

[1] Qiu Zengxuan, Liu Xiangang. A heuristic data distribution grid task scheduling algorithm [J]. China New Communications, 2020, 22(04):50-52.

[2] Zhang Yunbin. Pipe network calculation and water supply scheduling of urban water supply network [J]. Engineering Technology Research, 2019, 4(21):225-226.

[3] Yang Xinnian, Liu Feng, Tian Tiegang, et al. A grid scheduling algorithm based on an improved genetic algorithm [J]. Computer and Digital Engineering, 2018, 46(09):1786-1789+1795.

[4]Dong Siqi, Li Hailong, Qu Yuzhu, et al. Mobile edge computing task scheduling strategy for priority users [J]. Computer Application Research, 2020, 37(09):147-151.


Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16