A Methodological Survey on Load Balancing Techniques in Cloud Computing

Cloud computing offers a variety of dynamic flexible resources to expedite the processing of large scale tasks in pay-by-use manner to public. In that, resource distribution and the effective load balancing among the available resources in heterogeneous environment is a major concern. Load balancing is employed across different data centers in order to establish network availability and to increase the network capacity. Moreover, the method is required to allocate dynamic workloads equally to all the nodes across cloud network. Proper load balancing technique helps in implementing fail-over, avoiding bottleneck problems, enabling scalability, optimizing resource allocation etc. This paper presents a survey about dynamic load balancing strategies directed on cloud data storage on workloads. The study also focuses on various metrics for load balancing in clouds that tends to analyze the efficacy of existing techniques. Associated overhead, response time, performance and scalability are some of the major parameters that are considered here for analysis. Keywords-Cloud computing, load balancing, response time, performance, resource allocation, scheduling