A survey on Load Balancing Algorithms in Cloud Computing and Proposed a model with Improved Throttled Algorithm

Cloud Computing is an emerging technology and has attracted a lot of attention in both commercial and academic spheres. It is growing very fast and provides an alternative to conventional computing where all resources available via internet. It is new paradigm of large scale distributed computing which promise to offer subscription-oriented, enterprise-quality computing services to its users On-Demand bases in pay-per-use manner. One of important issue associated with this field is load balancing and task scheduling. Load balancing algorithms were investigated heavily in various environments; however, with Cloud environments, some additional challenges are present and must be addressed. Issues such as handling large scaled resources of Cloud require several techniques to optimize and streamline its operations. In this paper, we investigate the various existing algorithms proposed to resolve the issue of load balancing in Cloud Computing. We discuss and compare these algorithms and proposed a model based on improved throttled load balancing to achieve best results in terms of resource utilization, response time, cost, etc.