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A Fuzzy Based Hybrid Firefly Optimization Technique for Load Balancing in Cloud Datacenters
, E Ganga Devi, Balamurugan Balusamy, Seifedine Kadry, Sanjay Misra, Modupe Odusami
Published in Springer International Publishing
2019
Volume: 939
   
Pages: 463 - 473
Abstract
Cloud computing technology has massive inferences with the use of virtualization technologies. Most of the organizations have incorporated to practice the virtualization strategies to create and operate an effective dynamic data center. The growing maturity of the technologies and utilities of the cloud make the users hasten the adoption of the cloud. The dynamic demanding nature of cloud resources leads to an imbalance in virtual machine utilization and radically increases the energy consumption and operating cost of the data center. In this paper, we propose a fuzzy based hybrid load balancing algorithm for the optimal utilization of virtual machines. The proposed algorithm aim is to reduce the makespan, response time and cost with minimal energy usage and resource wastage. The fuzzy based hybrid optimization approach unveils better performance than existing metaheuristic load balancing algorithms. © 2019, Springer Nature Switzerland AG.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Innovations in Bio-Inspired Computing and Applications
PublisherData powered by TypesetSpringer International Publishing
ISSN2194-5357
Open AccessNo