Load Balancing using Particle Swarm Optimization based Algorithms in Docker Container Cloud Environment: A Comparative Analysis
Keywords:
Cloud Computing, Docker Container, Load balancing, Particle Swarm Optimization (PSO)Abstract
Cloud computing has vast usage in all type of services such as PaaS, SaaS, IaaS, XaaS , since last few years container based technologies have evolved and popular among industries and programmers, contrast with traditional Hypervisor based architecture container based applications are easy to load , deploy , secure and easy implementation , It also provides cluster based implementation and auto calling features, as of now multiple container based implantation is used in industries which leads to problem of resource allocation and efficient resource utilization , to maintain smooth and fair functioning of multiple containers over clusters load balancing mechanism is essential to distribute load equally to get maximum performance in cloud based services , Currently many technologies provides implementation of such as Nginx[18], kubernetes[14], and Docker Swarm[15] , here nginx and kubernetes provides default load balancing techniques , to improve this as per requirements many researchers have proposed various load balancing mechanisms. This paper is focused on comparison and result analysis of PSO (Particle Swarm Optimization) based algorithms proposed for load balancing in container based applications here we have showed and implemented various PSO algorithms for load balancing using parameters such as CPU usage, memory usage and optimize load allocation and finally concludes results comparisons of PSO algorithm variants..
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