International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 55 - Number 5 |
Year of Publication: 2012 |
Authors: K. L. Giridas, A. Shajin Nargunam |
10.5120/8752-2648 |
K. L. Giridas, A. Shajin Nargunam . Optimal Resource Allocation Technique (ORAT) for Green Cloud Computing. International Journal of Computer Applications. 55, 5 ( October 2012), 20-26. DOI=10.5120/8752-2648
As the IT trade progress towards game-changing expertise, a cloud Eco-system is gradually increasing in the country with expertise corporation ramping up employing and guiding for cloud computing. An accomplishment of green IT is probable to assist an organization in several ways like operating cost, stakeholder value, sustainability, employee morale and so on. Cloud computing might hoist privacy and security concerns but this could have one obvious advantage, far enhanced energy efficiency. The previous work studied about the accumulation of e-waste by integrating the old and mid-range processors with modern processors but the care about resource efficiency is less. In this paper, proposes an optimal resource allocation method for cloud computing environments. This paper progress a resource allocation representation of green cloud computing environments, considering both bandwidth and processing capability, allocated concurrently to every service request and returned it on an hourly basis. The owed resources are committed to every service request. It is established by simulation evaluation that the proposed ORAT method can diminish the request loss possibility and therefore, decrease the total resource obligatory, compared with the predictable allocation method. Through the optimal resource allocation, the resources for the tasks are allocated for cloud computing environment by eradicating e-waste and make IT as Green IT. The proposed Optimal resource allocation technique (ORAT) for cloud computing in Green IT can be implemented in CloudSim software, and various performance characteristics can be simulated to estimate the performance of the proposed ORAT in terms of processing ability, resource utilization, bandwidth.