Enhanced principal component gradient round-robin load balancing in cloud computing

Abstract

Cloud computing is a recent computer technology that has virtualized infrastructure to offer secure and reliable services to users in a complex environment. The main advantage of the cloud is its scalability. Vast scalability is possible because of load balancing. Due to the advancement of the cloud, huge numbers of service provisioning requests are generated from users. Cloud needs a better and more efficient load-balancing mechanism to handle all the user’s requests. This paper proposes the principal component gradient round robin load balancing (PCGRLB) technique to balance the workload in a cloud server for handling a huge workload within a minimum time. The PCGRLB technique performs two processes: Virtual machine analysis and load balancing. The PCGRLB technique is evaluated on factors such as throughput, makespan, and response time concerning several tasks. The results show that the PCGRLB technique offers an efficient solution in achieving higher load balance, efficiency, throughput, and minimized makespan and response time than the conventional techniques.