Improving the Processing Time with Equally Spread Technique in Cloud Computing

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Komalpreet Kaur
Rohit Mahajan

Abstract

Cloud Computing attracts many people because disappearing entrepreneur needs users consider pre-provisioning, and allows small businesses and expanding resources only when there is an increase in demand for services. In our research work we have used the Equally Spread Current Execution Load technique by creating 50 user bases and 2 data centers on different regions and configuring each user bases on different data centers. Furthermore simulation is run for 90 minutes using service broker policy for the betterment of the results. Finally we configured it with 50 user bases with 2 data centers on different regions by using linux operating system with virtual machine monitor (VMM). By allotting physical hardware units on data centers and running the simulation for 90 minutes it has been observed that the results obtained in case of Equally Spread Current Execution Load are far better than that of round robin. So in this research work we have implemented the Equally Spread Current Execution Load technique and improvement has been made on the behalf of overall response time and processing time of data centers which is much distinguishable as compared to the Round Robin Technique.

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How to Cite
Kaur , K., & Mahajan , R. (2018). Improving the Processing Time with Equally Spread Technique in Cloud Computing. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(8), 11 –. Retrieved from http://ijfrcsce.org/index.php/ijfrcsce/article/view/1714
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