Muhammad Aliyu, M. Murali, A. Gital, S. Boukari
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引用次数: 20
Efficient Metaheuristic Population-Based and Deterministic Algorithm for Resource Provisioning Using Ant Colony Optimization and Spanning Tree
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
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