A HYBRID APPROACH FOR LOAD BALANCING: USING RANDOM FOREST AND PSO APPROACH(RFPSO)

Kirti Bala, Anil Kumar

Abstract


Cloud Computing becomes need of the hour, since cloud provides resources to machines having limited resources associated with them. Load balancing becomes critical in such environment. Proposed literature utilizes Random forest along with particle swarm optimization for balancing load across available resources in cloud machines. Random schedules are prepared by the use of random forest algorithm. These schedules are fed into cloud system for execution. If the resources are not available with current vms, PSO is applied to locate the resources. Performance analysis indicates better results in terms of Makespan, Flowtime , Time and Load balancing degree.

Keywords


Cloud Computing; Random Forest; Particle Swarm Optimization; Makespan; Flowtime Time; Load Balancing Degree

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DOI: https://doi.org/10.26483/ijarcs.v8i5.3850

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