Improved Shuffled Frog Leaping Algorithm in Cloud Computing Resources
CHEN Haitao
SHEN Qiang
Abstract：Resource scheduling under the condition of cloud computing has always been the focus of current research . The current situation of cloud computing is analyzed and introduces shuffled frog leaping algorithm in resource allocation is introduced in this paper .Aiming at that shuffled frog algorithm is easy to fall into local optimum with fast convergence speed ,artificial vector machine is introduced into the subgroups of shuffled frog leaping algorithm ,then ,self-adaptive cross-over probability is introduced into the algorithm’s interior searching .The improved shuffled frog leaping algorithm effectively avoids the algorithm from falling into local optimum and meanwhile shortens the time of global searching and optimum .Clas-sic function proves the performance of algorithm in this paper is improved greatly .CloudSim platform demonstrates that al-gorithm in this paper can improve the system’s efficiency into processing tasks and make resource allocation in cloud compu-ting reasonable and effective .
Keywords：shuffled frog leaping algorithmcloud computing resourcesartificial vector machine
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1382-1386,1506 )