Greedy Load Balancing for Cloud Computing Framework

Abstract

Cloud computing technology helps in resource and application sharing at large scale. Load balancing or resource sharing is one key task which controls quality of services in a cloud computing framework. This proposed work focuses on optimal task management by scheduling through greedy resource allocation strategy. Literature study reveals that greedy resource allocation concept is mostly unexplored in this domain. This work relies on that to propose a task allocation schedule. Acquired schedule is also verified with service level agreement (SLA) protocol for its validity to control quality of services. This new method has been simulated and tested under various load scenarios and also compared with two other widely used models. Experimental study shows promising outcome.