Performance Enhancement and Reduce Energy Consumption with Load Balancing Strategy in Green Cloud Computing

Abstract

Cloud computing is an innovative technique which provides on-demand access of computing resources like processing power, memory, storage, network, etc. Cloud providers always suffering from the proper allocation of the resources for the execution of requested tasks. Because of this conflict or improper matching of tasks with the computing resources, they lead with QoS and performance degradation, and at end result, it may have bigger issue with greater energy consumption. Hence, in cloud environment, load balancing is an important approach to allocate resources to execute requested tasks with utmost efficiency and with fully utilization of computing resources. With effective load balancing mechanism, we can utilize the cloud resources, enhance performance, achieve QoS, and can reduce significant amount of energy consumption. Proposed load balancing algorithm focuses on response time and processing time for the execution of requested tasks to better justify the results in Green Cloud Environment. By reducing response time and processing time of proposed system, we can enhance system performance and achieve better Quality of Service (QoS) compared with any existing load balancing policies like Round Robin, active monitoring, LFU, and Throttled in Cloud system. By cutting down processing time and response time would result in better energy efficient mechanism for Green cloud computing. By using proposed load balancing algorithm, we can tentatively reduce response time by 25% and can reduced data center processing time by nearly 20% with compared to Round Robin algorithm. With provided solution of effective load balancing strategy, there is a significant reduction in energy consumption by cloud environment and helps to manage Green Cloud Environment more robust.