A Parametric Study of Load Balancing Techniques in Cloud Environment

Cloud Computing is one of the rapidly growing areas in the field of computer science. A modern paradigm provides services through the Internet. An Internet-based technology employs pay-as-you-go model (PAYG). Load balancing is one of the important and vital issues in cloud computing. It (load balancing) is a technique which improves the distribution of workloads across various nodes. Load balancing distributes dynamic workload among various nodes so that no specific node breaks down by heavy load. It is crucial to utilize the full resources of a parallel and distributed system. Resource consumption and energy consumption both can be limited by distributing the load evenly and properly using different load balancing techniques. Lowering the use of resources increases the overall working performance of the system thus cutting down the carbon emission rate and providing the greener and safer environment. Different algorithms and techniques are employed to balance the load on nodes. These techniques can be examined on different parameters such as resource utilization, reliability of the system, system performance, related overhead of the system, power saving feature, scalability and many more. This paper presents the insight into the existing load balancing algorithms and their comparison on basis of different parameters.