Genetic Algorithm Based Service Broker Policy to find Optimal Datacenters in Cloud Services
Abstract
In modern-day computing, cloud services are widely used in every aspect of life. So, user satisfaction depends on the effectiveness and efficiency of cloud services. Service broker policy of the cloud maintains the effectiveness and efficiency of cloud services. Service broker policy provides the rules and norms based on which a data center is selected for a userbase request. This paper proposes a genetic algorithm-based service broker policy that provides the optimal sequence of data centers for different userbases based on their requirements. This research aims to find an optimal data center for userbases that can achieve user satisfaction by minimizing the cloud service's response time and data processing time. We have experimented with our proposed genetic algorithm-based service broker policy in the CloudAnalyst platform based on different real-world scenarios. Simulation results indicate that our proposed genetic algorithm outperforms existing traditional algorithms.
Department(s)
Computer Science
Document Type
Conference Proceeding
DOI
10.1109/ICCCBDA56900.2023.10154791
Keywords
cloud computing, genetic algorithm, service broker policy
Publication Date
1-1-2023
Recommended Citation
Chowdhury, Shusmoy; Katangur, Ajay K.; Psayadala, Nagesh Rao; Liu, Siming; and Sheta, Alaa, "Genetic Algorithm Based Service Broker Policy to find Optimal Datacenters in Cloud Services" (2023). Faculty Scholarship. 662.
https://bearworks.missouristate.edu/articles00/662
Journal Title
2023 8th International Conference on Cloud Computing and Big Data Analytics Icccbda 2023
