A novel resource management framework in a cloud computing environment using hybrid cat swarm BAT (HCSBAT) algorithm

Resource management is an important issue in the cloud computing paradigm. The maximum Utilization of resources leads the service providers to get maximum profit. The suitable resources in the cloud data centre are needed to satisfy the user needs. The selection of the right resource is very essenti...

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Bibliographic Details
Published in:Distributed and parallel databases : an international journal 2023, Vol.41 (1-2), p.53-63
Main Authors: Senthil Kumar, A. M., Padmanaban, K., Velmurugan, A. K., Asha Shiny, X. S., Anguraj, Dinesh Kumar
Format: Article
Language:English
Subjects:
Cloud computing
Computer Science
Data centers
Data Structures
Database Management
Genetic algorithms
Heuristic methods
Information Systems Applications (incl.Internet)
Memory Structures
Operating Systems
Optimization
Resource management
Resource utilization
Special Issue on Cloud-based Mobile Edge Computing
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Summary:Resource management is an important issue in the cloud computing paradigm. The maximum Utilization of resources leads the service providers to get maximum profit. The suitable resources in the cloud data centre are needed to satisfy the user needs. The selection of the right resource is very essential in the data centre. Metaheuristic algorithms are used to perform the task allocation in the cloud computing environment. In this paper, a novel task allocation algorithm is proposed using Cat Swarm Optimization and BAT algorithm. BAT algorithm helps CSO algorithm to escape from a pre convergence issue. The proposed HGCSBAT algorithm results are evaluated and compared with the popular algorithms CSO and BAT algorithms. The HGCSBAT results are better than Genetic algorithm, Cat Swarm Optimization, and BAT algorithms in terms of availability and throughput.
ISSN:0926-8782
1573-7578
DOI:10.1007/s10619-021-07339-w