Dynamic Fault Tolerance Management Algorithm for VM Migration in Cloud Data Centers

Authors

  • Bikash Chandra Pattanaik Gandhi Institute for Education and Technology, Affiliated to Biju Patnaik University of Technology Rourkela, Odisha, India
  • Bidush Kumar Sahoo GIET University, Gunupur, Odisha, India
  • Bibudhendu Pati Ramadevi Women’s University, Bhubaneswar, Odisha, India
  • Suprava Ranjan Laha Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India

Keywords:

fault tolerance, load balancing, reactive fault tolerance, proactive fault tolerance, resource utilization, cloud computing, dynamic VM migration, resource allocation

Abstract

Fault tolerance is critical in constructing robust cloud computing systems to ensure uninterrupted service delivery and maintain economic benefits despite potential faults. This paper presents a novel layered modeling architecture that combines reactive and proactive fault modeling theories to enable reliable, survivable cloud-based applications by addressing fault tolerance concerns. This paper examines the issues of dynamic fault tolerance management and virtual machine (VM) migration in cloud data centers. We introduce a comprehensive algorithm that efficiently manages fault tolerance through proactive measures by leveraging a layered modeling architecture. The algorithm considers defect prediction and resource allocation techniques to minimize service interruptions and maximize resource utilization. It incorporates reactive and proactive fault modeling to identify and respond to faults, anticipates potential faults, and takes preventative measures. This integration makes the cloud computing environment more robust and reliable. However, extensive simulations and evaluations demonstrate the proposed algorithm's effectiveness in reducing service downtime, ensuring application reliability, and sustaining optimal performance. The algorithm's ability to dynamically migrate virtual machines (VMs) based on defect prediction contributes to efficient resource allocation and load balancing, mitigating potential bottlenecks and enhancing system resilience. The results demonstrate the applicability and effectiveness of the proposed framework for maintaining cloud-based applications' dependability. Combining reactive and proactive fault modeling theories, the proposed algorithm provides a comprehensive method for keeping cloud-based applications reliable and fault-tolerant.

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Published

16.07.2023

How to Cite

Pattanaik, B. C. ., Sahoo, B. K. ., Pati, B. ., & Laha, S. R. . (2023). Dynamic Fault Tolerance Management Algorithm for VM Migration in Cloud Data Centers. International Journal of Intelligent Systems and Applications in Engineering, 11(3), 85–96. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3145

Issue

Vol. 11 No. 3 (2023)

Section

Research Article

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