Optimization of datacenter selection through a genetic algorithm-driven service broker policy

Abstract

Establishing an optimal datacenter selection policy within the cloud environment is paramount to maximize the performance of the cloud services. Service broker policy governs the selection of datacenters for user requests. In our research, we introduce an innovative approach incorporating the genetic algorithm with service broker policy to assist cloud services in identifying the most suitable datacenters for specific userbases. The effectiveness of our proposed genetic algorithm was rigorously evaluated through experiments conducted on CloudAnalyst platform. The results clearly indicate that our proposed algorithm surpasses existing service broker policies and previous research works done in this field in terms of reducing response time and data processing time. The results analysis validates its efficacy and potential for enhancing cloud service performance and reducing the cost of overall cloud infrastructure.

Department(s)

Computer Science

Document Type

Article

DOI

10.1186/s13677-024-00719-4

Keywords

Cloud computing, Genetic algorithm service broker policy

Publication Date

12-1-2024

Journal Title

Journal of Cloud Computing

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