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Competent resource provisioning and distribution techniques for cloud computing environment
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DOI：10.1007/s10586-017-1293-6.png)
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摘要
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The principal intension of the investigation is to provisioning the resources and effectively allocates them. Initially, the resource are identified and analyzed and then clustered. Cluster the resource using the kernel fuzzy cmeans clustering algorithm. After the clustering algorithm, the resources are allocated using resource provider. In the proposed method resource allocation is done with the help of modified cloud resource provisioning algorithm. With the help of optimization technique, the traditional OCRP algorithm is improved. Modified cloud resource provisioning algorithm is selecting the resource with minimum cost using optimization. Here particle swarm optimization algorithm is used to select the optimal resource with minimum cost. Finally the resource provisioner allocates the resource in an effective manner. The enactment of the proposed method is evaluated by means of cost value. The proposed technique is performed with the mighty assistance of the Cloud simulator in the working platform of Java software.
Keyword:
Kernel fuzzy c-means
Cloud resource provisioning
OCRP
Particle swarm optimization
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