A Comparative Study on Resource Aware Allocation and Load balancing Techniques for Cloud Computing

Advances in cloud networking, cloud infrastructure, and data processing necessitate resource management flexibility. Fault tolerance systems, which include effective load balancing and migration of applications without disturbing any other services operating, should be the key criteria for ensuring the high availability of cloud data centres. Providers of Cloud service should intelligently supply resources to every customers to achieve the optimum resource assignment in changing hosting frameworks. Moreover, many problems in load balancing approaches such as security, fault tolerance, etc exist in today's cloud computing environments. Realizing its relevance and importance, issue of resource aware load balancing in the cloud has received a lot of attention, and numerous load balancing methods is introduced in the literature. Study intends to focus on the survey of many resource aware allocation and load balancing approaches with their advantages and disadvantages. Finally, conclusion with future work is derived a novel technique based on optimization strategy that should guaranteed a drastic improvement in resource utilization on Cloud than existing approaches.