Enhancement of Security and Energy Efficiency in Cloud Computing
Renu Kumari1, Vinod Kr. Saroha2, Sanjeev Rana3 

1Renu Kumari, Research Scholar, Department of Computer Science Engineering, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat, (Haryana), India.
2Vinod Kr. Saroha, Assistant. Professor, Department of CSE and IT, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat, India.
3Dr. Sanjeev Rana, Professor, Department of Computer Engineering MMCE, MM Deemed University, Mullana, India.

Manuscript received on 02 March 2019 | Revised Manuscript received on 09 March 2019 | Manuscript published on 30 July 2019 | PP: 2459-2462 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2069078219/19©BEIESP | DOI: 10.35940/ijrte.B2069.078219
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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: This paper focuses on the job scheduling in cloud environment. Here the task has been scheduled in cloud and fog. Cloud provides services to heavy application while fog provides service to lighter application. The job scheduler would be helpful to reduce burden of cloud and help in energy optimization. The jobs are scheduled according to their types and priority. Various job scheduling algorithm such as gang scheduling, FCFS and round robin mechanism have been discussed in this research for load balancing and improve the compilation time. The simulation has been made using Matlab on virtual machines.
Keywords: Cloud Computing, Load Balancing, Fog Node, Gang Scheduler, FCFS, ROUND ROBIN

Scope of the Article: Cloud Computing