Task scheduling in cloud computing based on hybrid moth search algorithm and differential evolution

作者：

Highlights：

• An alternative method for cloud task scheduling problem.

• The proposed method is a modified moth search algorithm using Differential Evolution.

• The Differential Evolution is used as local search method to enhance moth search algorithm.

• The proposed method is evaluated twenty optimization functions.

• It is used to solve the cloud task scheduling using synthetic and real trace data.

摘要

•An alternative method for cloud task scheduling problem.•The proposed method is a modified moth search algorithm using Differential Evolution.•The Differential Evolution is used as local search method to enhance moth search algorithm.•The proposed method is evaluated twenty optimization functions.•It is used to solve the cloud task scheduling using synthetic and real trace data.

论文关键词：Task scheduling,Cloud computing,Makespan,Moth search algorithm (MSA),Differential evolution (DE),Meta-heuristics algorithm

论文评审过程：Received 11 July 2018, Revised 18 January 2019, Accepted 19 January 2019, Available online 31 January 2019, Version of Record 18 February 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.01.023