Article

Study on Resources Scheduling Based on ACO Allgorithm and PSO Algorithm in Cloud Computing

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DCABES '12: Proceedings of the 2012 11th International Symposium on Distributed Computing and Applications to Business, Engineering & Science

Pages 219 - 222

https://doi.org/10.1109/DCABES.2012.63

Published: 19 October 2012 Publication History

Abstract

It improves the algorithm because of the shortcoming that the ACO algorithm is easy to fall into local optimal solution in the cloud computing resource scheduling. The improved algorithm makes particle optimization inosculated into ant colony algorithm, which first finds out several groups of solutions using ACO algorithm according to the updated pheromone, and then gets more effective solutions using PSO algorithm to do crossover operation and mutation operation so as to avoid the algorithm prematurely into the local optimal solution.

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Junaid MSohail ATurjman FAli R(2022)Agile Support Vector Machine for Energy-efficient Resource Allocation in IoT-oriented Cloud using PSOACM Transactions on Internet Technology10.1145/343354122:1(1-35)Online publication date: 28-Feb-2022
https://dl.acm.org/doi/10.1145/3433541
Madni SAbd Latiff MAbdulhamid SAli J(2019)Hybrid gradient descent cuckoo search (HGDCS) algorithm for resource scheduling in IaaS cloud computing environmentCluster Computing10.1007/s10586-018-2856-x22:1(301-334)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10586-018-2856-x
Mishra SSahoo BManikyam PBen-Othman JGang FLiu JArai M(2017)Adaptive scheduling of cloud tasks using ant colony optimizationProceedings of the 3rd International Conference on Communication and Information Processing10.1145/3162957.3163032(202-208)Online publication date: 24-Nov-2017
https://dl.acm.org/doi/10.1145/3162957.3163032
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Published In

DCABES '12: Proceedings of the 2012 11th International Symposium on Distributed Computing and Applications to Business, Engineering & Science

October 2012

494 pages

ISBN:9780769548180

Publisher

IEEE Computer Society

United States

Publication History

Published: 19 October 2012

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Junaid MSohail ATurjman FAli R(2022)Agile Support Vector Machine for Energy-efficient Resource Allocation in IoT-oriented Cloud using PSOACM Transactions on Internet Technology10.1145/343354122:1(1-35)Online publication date: 28-Feb-2022
https://dl.acm.org/doi/10.1145/3433541
Madni SAbd Latiff MAbdulhamid SAli J(2019)Hybrid gradient descent cuckoo search (HGDCS) algorithm for resource scheduling in IaaS cloud computing environmentCluster Computing10.1007/s10586-018-2856-x22:1(301-334)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10586-018-2856-x
Mishra SSahoo BManikyam PBen-Othman JGang FLiu JArai M(2017)Adaptive scheduling of cloud tasks using ant colony optimizationProceedings of the 3rd International Conference on Communication and Information Processing10.1145/3162957.3163032(202-208)Online publication date: 24-Nov-2017
https://dl.acm.org/doi/10.1145/3162957.3163032
Ezugwu AAdewumi A(2017)Soft sets based symbiotic organisms search algorithm for resource discovery in cloud computing environmentFuture Generation Computer Systems10.1016/j.future.2017.05.02476:C(33-50)Online publication date: 1-Nov-2017
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Masdari MSalehi FJalali MBidaki M(2017)A Survey of PSO-Based Scheduling Algorithms in Cloud ComputingJournal of Network and Systems Management10.1007/s10922-016-9385-925:1(122-158)Online publication date: 1-Jan-2017
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Singh PDutta MAggarwal N(2017)A review of task scheduling based on meta-heuristics approach in cloud computingKnowledge and Information Systems10.1007/s10115-017-1044-252:1(1-51)Online publication date: 1-Jul-2017
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Kaur NSingh S(2016)A Budget-constrained Time and Reliability Optimization BAT Algorithm for Scheduling Workflow Applications in CloudsProcedia Computer Science10.1016/j.procs.2016.09.03298:C(199-204)Online publication date: 1-Oct-2016
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Madni SLatiff MCoulibaly YAbdulhamid S(2016)Resource scheduling for infrastructure as a service (IaaS) in cloud computingJournal of Network and Computer Applications10.1016/j.jnca.2016.04.01668:C(173-200)Online publication date: 1-Jun-2016
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Zhan ZLiu XGong YZhang JChung HLi Y(2015)Cloud Computing Resource Scheduling and a Survey of Its Evolutionary ApproachesACM Computing Surveys10.1145/278839747:4(1-33)Online publication date: 21-Jul-2015
https://dl.acm.org/doi/10.1145/2788397

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An adaptive weight based particle swarm optimization scheduling algorithm on cloud computing system

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