Comparative Analysis of High Availability Solutions


The aim of the thesis was to perform a comparative analysis of selected high availability solutions. The issue of choosing the right HA solutions is an indispensable part of any company that uses IT infrastructure. As the most commonly used solutions are the virtualization solutions of Microsoft: Hyper-V and VMWare: vSphere, they have been subjected to in-depth analysis. For this purpose, we have performed performance tests of guest systems on the above hypervisors and we tested the behavior of the cluster in the event of failure of one of the hosts.


cluster; high availability; Hyper-V; vSphere

[1] Gray J., Siewiorek D.: High-Availability Computer Systems. Carnegie Mellon University, 1991.
[2] Kopper K.: The Linux Enterprise Cluster - Build a Highly Available Cluster with Commodity Hardware and Free Software. No Starch Press, 2005.
[3] Prashanta K. D.: Comparative Study on XEN, KVM, VSphere, and Hyper-V. [W]: Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing, 2016.
[4] Alroobaea R., Ghiduk A., Ikbal M.: Performance Evaluation of Xen, KVM, and Proxmox Hypervisors. [W]: International Journal of Open Source Software and Processes. 9(2), 2018.
[5] Graniszewski W, Arciszewski A.: Performance analysis of selected hypervisors (Virtual Machine Monitors – VMMs). [W]: International Journal of Electronics and Telecommunications, 62(3), 2016.
[6] Bhatia A., Bhattal G.: A comparative study of Various Hypervisors Performance. [W]: International Journal of Scientific & Engineering Research. Tom 7, zeszyt 12, 2016.
[7] Fayyad-Kazan H., Perneel L., Timmerman M.: Banchmark the Performance of Microsoft Hyper-V server, VMware ESXi and Xen Hypervisors. [W]: Journal of Emerging Trends in Computing and Information Sciences, 2013.
[8] [01.06.2019].
[9] [01.06.2019].
[10] [01.06.2019].

Published : 2019-09-30

Borsewicz, M. S., & Bieniek, D. (2019). Comparative Analysis of High Availability Solutions . Journal of Computer Sciences Institute, 12, 240-245.

Michał Sylwester Borsewicz
Lublin University of Technology  Poland
Daniel Bieniek 
Lublin University of Technology  Poland