A comparative study on job scheduling algorithm augmenting load balancing in cloud

Cloud Computing is an emergent area in the field of Information Technology having the Internet as its base and provides various services as utility and follows pay-as you-go model. Load balancing is a critical issue in cloud computing which is a technique that uses multiple nodes and distributes dynamic workload among them so that no single node is overloaded and ensures none of the system collapse as a victim of overloading. Load balancing includes optimal utilization of resources which increases the performance of the system and thereby the minimization of the load of competent resources. This paper makes a survey that helps in analyzing the issues of existing load balancing algorithms and gives a comparison among these algorithms on the basis of different qualitative metrics like throughput, reliability, performance, resource utilization etc.