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Workflow Tasks Scheduling Optimization Based on Genetic Algorithm in Clouds

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成果类型:
期刊论文、会议论文
作者:
Yang Cui;Zhang Xiaoqing*
通讯作者:
Zhang Xiaoqing
作者机构:
[Zhang Xiaoqing; Yang Cui] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
通讯机构:
[Zhang Xiaoqing] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
cloud computing;genetic algorithm;workflow scheduling;tasks scheduling
期刊:
2018 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA)
年:
2018
页码:
6-10
会议名称:
2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
会议论文集名称:
2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
会议时间:
April 2018
会议地点:
Chengdu, China
会议主办单位:
[Yang Cui;Zhang Xiaoqing] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
会议赞助商:
IEEE
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-5386-4302-0
基金类别:
Natural Science Foundation of Hubei ProvinceNatural Science Foundation of Hubei Province [2018CFB407]
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
Tasks scheduling problem is the key challenge in cloud computing system. For reducing the execution cost of workflow tasks scheduling under the deadline and the budget constraint, a workflow tasks scheduling algorithm based on genetic algorithm in cloud computing is proposed. In our algorithm, each task is assigned priority by an top-down leveling method. By this top-down leveling method, all workflow tasks are divided into the different levels, which can promote the parallel execution of workflow tasks. When code the solution of tasks scheduling, we design a two dimension coding method. And, ...

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