Influence of Different Hypervisor Versions on File System Performance: Case Study With VMware Workstation

Keywords:
Hypervisor, VMWare Workstation, Centos 9, Virtual machine, Filebench

Abstract:
In this paper, main idea and contributions is performance comparison of different generations of the same hypervisor. The main problem that is solved by this is the examination of how new generations of hypervisor software affect performance, because new generations do not guarantee an increase in performance, and the main reason is an increase in security. The problem is significant and permanent, because new software versions are constantly appearing. Our methodology is as follows: as first, we incorporate a mathematical model of the virtual environment, followed by a real experiment presented as a specific case study. We leverage our model for interpreting the results obtained from the experiment. VMware Workstation was selected as the designated hypervisor, and for the study, the 15th, 16th, and 17th generations were chosen, each represented by a specific version. For comparative analysis, our selection for the benchmark program is Filebench. Recognized for its exceptional flexibility, Filebench enables the simulation of authentic server behaviours. The role of the guest operating system was fulfilled by Centos 9, representing the Linux family. Our tests involved the simultaneous operation of one, two, and three virtual machines.

CITATION:

IEEE format

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B. Đorđević, N. Kraljević, S. Marić, “Influence of Different Hypervisor Versions on File System Performance: Case Study With VMware Workstation,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 2-9. doi:10.15308/Sinteza-2024-2-9

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Đorđević, B., Kraljević, N., Marić, S. (2024). Influence of Different Hypervisor Versions on File System Performance: Case Study With VMware Workstation. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-2-9

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