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Hybrid Cloud Resource Provisioning (HCRP) Algorithm for Optimal Resource Allocation Using MKFCM and Bat Algorithm

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Abstract

The basic purpose of resource allocation is to make the most efficient allocation of available resources. It contains resources and the number of tasks. The proposed methodology has two types there are resource discovery and resource allocation. The Multiple Kernel Fuzzy C Means Clustering Algorithm (MKFCM) is utilized for resource discovery process. Depends on the MKFCM algorithm the recommended method is group the available resources. Thereafter the resources are allocated with the help of a hybrid optimization technique. Here, resource provisioning algorithm is hybrid with bat algorithm for hybridization approach. The experimental analysis of the proposed mechanism is evaluated based on cost value, memory utilization and time. The prospective strategies have been experimented using the Cloud simulator with Java as the working platform.

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Authors and Affiliations

  1. Department of Computer Technology, Kongu Engineering College, Erode, Tamil Nadu, India

    S. Kalaiselvi

  2. Department of Computer Science and Engineering, Kongu Engineering College, Erode, Tamil Nadu, India

    C. S. Kanimozhi Selvi

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  1. S. Kalaiselvi
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  2. C. S. Kanimozhi Selvi
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Correspondence to S. Kalaiselvi.

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Kalaiselvi, S., Kanimozhi Selvi, C.S. Hybrid Cloud Resource Provisioning (HCRP) Algorithm for Optimal Resource Allocation Using MKFCM and Bat Algorithm. Wireless Pers Commun 111, 1171–1185 (2020). https://doi.org/10.1007/s11277-019-06907-9

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  • DOI: https://doi.org/10.1007/s11277-019-06907-9

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