Virtual environments testing in cloud service enviorment: a framework to optimize the performance of virtual applications

Ashutosh Kumar (), Gajanand Sharma (), Payal Jain (), Aditya Upadhyay (), Satyajeet Sharma () and Ashok Kumar Saini ()
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Ashutosh Kumar: JECRC University
Gajanand Sharma: JECRC University
Payal Jain: Shree Digamber Institute of Technology
Aditya Upadhyay: JECRC University
Satyajeet Sharma: JECRC University
Ashok Kumar Saini: JECRC University

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 1, 15 pages

Abstract: Abstract Past decade, IT (Information Technology) experienced exponential growth across the world. Initially Information Technology was used for manufacturing automation and other highly specialized tasks. But as per requirement it changed its features and now it has started to enter into new regimes such as social media, marketing, distribution and after that it becomes a part of everyone’s regular life on this planet. The increasing demand of IT resources creates an enormous challenge of deployment and management of IT in a large-scale sector or industry. In this work, two most powerful Hypervisor VMware ESXi 4.1 and Citrix XenServer 5.6 were analyzingd and compared on the basis of Guest Operating System by Performance Monitor. Selection of hardware settings were given careful and normal conditions in order to run these Hypervisors without any performance issue due to hardware or software incompatibility. Installing these hypervisors was challenging because of their nature and less GUI interface. But we successfully installed both the Hypervisors and their management tools. Benchmark tool performance monitors measure the performance of both the hypervisors in the same condition we applied for them. We calculate different-different parameters for the best comparison purpose which are: CPU, memory, disk, system response time. We also calculate the overall performance of the system, in which we compare that our Guest Operating system performed well and better without any resistance.

Keywords: Cloud storage; Information retrieval; Virtualization; Hypervisor algorithm; Network (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01105-y

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