Cloud Load Balancing Using Optimization Techniques

Cloud computing is an integrated phenomenon that incorporates data, applications and services in a dynamic environment and enables worldwide optimization of resources. This computing technology is scalable and elastic in nature that opens door for large amount of incoming data from different venues with high velocity. Managing such data in distributive and heterogeneous environment imposes a challenge of load balancing on the service providers. They need to allocate the incoming tasks efficiently to the computing nodes to avoid imbalanced mapping and execution of the tasks. To achieve efficient load balancing, various load balancing algorithms have been proposed, and they all focus on achieving the effective distribution of data and improve the associated measurement factors. In this paper, different load balancing algorithms have been studied and analyzed with description of their techniques and focused parameters. Then, there is a brief discussion on the existing load balancing algorithms and further compares them based on parameters like throughput, scalability, resource utilization, etc., followed by the important findings thus made.