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

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...

Full description

Saved in:
Bibliographic Details
Published inWireless personal communications Vol. 111; no. 2; pp. 1171 - 1185
Main Authors Kalaiselvi, S., Kanimozhi Selvi, C. S.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2020
Springer Nature B.V
Subjects
Algorithms
Clustering
Communications Engineering
Computer Communication Networks
Computer simulation
Cost analysis
Engineering
Networks
Optimization
Optimization techniques
Provisioning
Resource allocation
Signal,Image and Speech Processing
Bat algorithm
Cloud resource provisioning
Multiple Kernel Fuzzy C Means Clustering
Resource discovery
Resource allocation
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-019-06907-9