Resource selection in computational grids based on learning automata
作者：
Highlights：
• Learning automata-variable actions is used to solve the resource selection problem.
• The proposed algorithm based on job predicted time.
• This algorithm based on the list of resources that discovered in discovery stage.
• Two different implementations of the algorithm are performed.
• Proposed algorithm outperforms in terms of average response time and throughput.
摘要
•Learning automata-variable actions is used to solve the resource selection problem.•The proposed algorithm based on job predicted time.•This algorithm based on the list of resources that discovered in discovery stage.•Two different implementations of the algorithm are performed.•Proposed algorithm outperforms in terms of average response time and throughput.
论文关键词：Grid computing,Learning automata,Task scheduling,Resource selection
论文评审过程：Received 8 December 2018, Revised 29 January 2019, Accepted 30 January 2019, Available online 31 January 2019, Version of Record 14 February 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.01.076
