{"title":"Efficient Metaheuristic Population-Based and Deterministic Algorithm for Resource Provisioning Using Ant Colony Optimization and Spanning Tree","authors":"Muhammad Aliyu, M. Murali, A. Gital, S. Boukari","doi":"10.4018/ijcac.2020040101","DOIUrl":null,"url":null,"abstract":"Resourceprovisioningisthecorefunctionofcloudcomputingwhichisfacedwithseriouschallenges asdemandgrows.Severalstrategiesofcloudcomputingresourcesoptimizationwereconsidered bymanyresearchers.Optimizationalgorithmsusedarestillunderreckoningandmodificationso as toenhance theirpotentials.Assuch,adynamicscheme thatcancombineseveralalgorithms’ characteristicsisrequired.Quiteanumberofoptimizationtechniqueshavebeenreassessedbased onmetaheuristicsanddeterministictomapoutwiththechallengesofresourceprovisioninginthe Cloud.Thisresearchworkproposestoinvolvetheantcolonyoptimization(ACO)population-based mechanismbyextendingittoformahybridmeta-heuristicthroughdeterministicspanningtree(SPT) algorithm incorporation.Extensiveexperimentconducted in thecloudsimsimulatorprovidedan efficientresultintermsoffasterconvergence,andmakespantimeminimizationascomparedtoother population-basedanddeterministicalgorithmsasitsignificantlyimprovesperformance. KEywORDS Cloud Computing, Deterministic, Dynamic, Metaheuristics, Optimization, Scheduling","PeriodicalId":442336,"journal":{"name":"Int. J. Cloud Appl. Comput.","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Cloud Appl. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijcac.2020040101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
基于蚁群优化和生成树的高效元启发式种群确定性资源分配算法
Resourceprovisioningisthecorefunctionofcloudcomputingwhichisfacedwithseriouschallenges asdemandgrows。Severalstrategiesofcloudcomputingresourcesoptimizationwereconsidered bymanyresearchers。Optimizationalgorithmsusedarestillunderreckoningandmodificationso as > toenhance theirpotentials。Assuch,adynamicscheme thatcancombineseveralalgorithms ' ' characteristicsisrequired。Quiteanumberofoptimizationtechniqueshavebeenreassessedbased onmetaheuristicsanddeterministictomapoutwiththechallengesofresourceprovisioninginthe Cloud.Thisresearchworkproposestoinvolvetheantcolonyoptimization(ACO)population-based mechanismbyextendingittoformahybridmeta-heuristicthroughdeterministicspanningtree(SPT)算法整合。Extensiveexperimentconducted in > thecloudsimsimulatorprovidedan efficientresultintermsoffasterconvergence,andmakespantimeminimizationascomparedtoother population-basedanddeterministicalgorithmsasitsignificantlyimprovesperformance。关键词云计算,确定性,动态,元启发式,优化,调度
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