Fault Tree Analysis based Virtual Machine Migration for Fault-Tolerant Cloud Data Center

Article type: Research Article

Authors: Leelipushpam, Getzi Jeba | Jebadurai, Immanuel Johnraja^{; *} | Jebadurai, Jebaveerasingh

Affiliations: Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

Correspondence: [*] Corresponding author. Email: immanueljohnraja@gmail.com. Tel: (+91)9597507167.

Abstract: Though cloud data center is highly adapted for flexible, scalable and highly available computing and storage resources, it is vulnerable to failures. Predicting the occurrence of server failure and taking appropriate preventive measures are essential in the cloud data center. In order to develop fault-tolerant cloud data center, a Fault Tree Analysis (FTA) based failure aware virtual machine (VM) migration technique is proposed. A fault tree is constructed for server failure event. The server failure is estimated by analyzing the fault tree and the virtual machines are migrated proactively to an alternate server before the failure. Simulations have been carried out and performance of the proposed technique is analyzed in terms of throughput. The results show that the proposed technique outperforms the other state of art techniques.

Keywords: Fault Tree Analysis, VM migration, Fault tolerant, Cloud Computing, Virtual Machines

DOI: 10.3233/JID190014

Journal: Journal of Integrated Design and Process Science, vol. 23, no. 3, pp. 73-89, 2019