Load Balancing in Cloud Computing: A Survey on comparison of two algorithms PSO and SJF-MMBF

Cloud computing provides us various services over the Internet and services have various problems includes security issues, energy efficiency, big data problem, load balancing etc. Proper Load balancing is used to accomplish proper resource utilization, optimal throughput achievement, reduce response time. Various research papers focused on various technique used to optimize response time, effectively lessens the system load, low computation and other overhead. Resources scheduling in virtual machine in cloud computing environment have also scheduling strategy constructed on genetic algorithm to reduce or avoids dynamic migration. The review paper specially focused on comparison of two algorithms PSO and SJF-MMBF on parameters like total flow time, completion time variance, RPD makespan, RPD total flow time etc.