Energy Efficient Resource Load Balancing in Cloud Computing
Adusumilli Sanjay1, Putta Vijay Venkat Sai2, Gogu Arun Kumar3, T.Gunashekar4, Sk. Hasane Ahammad5

1Adusumilli Sanjay, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
2Putta Vijay Venkat Sai, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
3Gogu Arun Kumar, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
4Dr.T. Gunashekar, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
5Sk. Hasane Ahammad, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 704-708 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5580058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: To reach the requirements of today’s most challenging problems in optimization of various parameters are to be done. To right utilization of available resources is very important and there is a requirement in advancing the proper and less usage of energy by the virtual machines. The tasks are to be optimized from Virtual machines to physical machines. In the cloud computing system, there is a huge problem of Connecting with virtualization, dynamism and resources.[3] These are classified according to the requirement of resources and finding the proper virtual machine and further continuing in search of physical machine. Here the selected virtual machine can be released. The given algorithm decreases the consumption of energy by decreasing the working states of multiple physical machines and reduces the task rejection rate and make span. By using the Cloudsim simulator, the results are demonstrated. 
Keyword: Active Host Set, Deadline of Task, Host Set, Taskset, VM type.
Scope of the Article: Cloud Computing