Algorithm for the cloud service workflow scheduling with setup time and deadline constraints

Cost minimization with deadline constraints and setup time is a new resource allocation optimization problem in cloud computing.An integer programming model is constructed for this NP-hard problem.A novel probability model and updating mechanism is suggested for sampling the solution space.A heurist...

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Main Authors: Hong SHEN, Xiao-ping LI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015125/
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author Hong SHEN
Xiao-ping LI
author_facet Hong SHEN
Xiao-ping LI
author_sort Hong SHEN
collection DOAJ
description Cost minimization with deadline constraints and setup time is a new resource allocation optimization problem in cloud computing.An integer programming model is constructed for this NP-hard problem.A novel probability model and updating mechanism is suggested for sampling the solution space.A heuristic method is investigated for generating good initial population.A hybrid estimation of distribution algorithm (HEDA) is proposed for the considered problem.The global best solution is adopted to balance the diversification and intensification of HEDA.Experimental results show that the proposed method is effective to optimize the workflow running cost within reasonable CPU time.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2015-06-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-4506e258bfba4b0f8aaa48d3ba58bc522025-01-14T06:46:38ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-06-013618319259693830Algorithm for the cloud service workflow scheduling with setup time and deadline constraintsHong SHENXiao-ping LICost minimization with deadline constraints and setup time is a new resource allocation optimization problem in cloud computing.An integer programming model is constructed for this NP-hard problem.A novel probability model and updating mechanism is suggested for sampling the solution space.A heuristic method is investigated for generating good initial population.A hybrid estimation of distribution algorithm (HEDA) is proposed for the considered problem.The global best solution is adopted to balance the diversification and intensification of HEDA.Experimental results show that the proposed method is effective to optimize the workflow running cost within reasonable CPU time.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015125/cloud serviceworkflow schedulingestimation of distribution algorithm
spellingShingle Hong SHEN
Xiao-ping LI
Algorithm for the cloud service workflow scheduling with setup time and deadline constraints
Tongxin xuebao
cloud service
workflow scheduling
estimation of distribution algorithm
title Algorithm for the cloud service workflow scheduling with setup time and deadline constraints
title_full Algorithm for the cloud service workflow scheduling with setup time and deadline constraints
title_fullStr Algorithm for the cloud service workflow scheduling with setup time and deadline constraints
title_full_unstemmed Algorithm for the cloud service workflow scheduling with setup time and deadline constraints
title_short Algorithm for the cloud service workflow scheduling with setup time and deadline constraints
title_sort algorithm for the cloud service workflow scheduling with setup time and deadline constraints
topic cloud service
workflow scheduling
estimation of distribution algorithm
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015125/
work_keys_str_mv AT hongshen algorithmforthecloudserviceworkflowschedulingwithsetuptimeanddeadlineconstraints
AT xiaopingli algorithmforthecloudserviceworkflowschedulingwithsetuptimeanddeadlineconstraints