RAFL: A hybrid metaheuristic based resource allocation framework for load balancing in cloud computing environment

Avnish Thakur; Major Singh Goraya

doi:10.1016/j.simpat.2021.102485

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JOURNAL ARTICLE

RAFL: A hybrid metaheuristic based resource allocation framework for load balancing in cloud computing environment

Avnish Thakur Major Singh Goraya

Year: 2022 Journal: Simulation Modelling Practice and Theory Vol: 116 Pages: 102485-102485 Publisher: Elsevier BV

DOI: 10.1016/j.simpat.2021.102485

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Keywords:

Computer science Particle swarm optimization Load balancing (electrical power) Benchmark (surveying) Mathematical optimization Metaheuristic CloudSim Cloud computing Resource allocation Swarm behaviour Heuristic Distributed computing Algorithm Artificial intelligence Mathematics

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Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Distributed and Parallel Computing Systems

Physical Sciences → Computer Science → Computer Networks and Communications

RAFL: A hybrid metaheuristic based resource allocation framework for load balancing in cloud computing environment

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