A Blockchain-Based Approach to Fault Tolerance in Virtual Machine Management

Virtualization has revolutionized modern computing by enabling multiple simulated environments to run on a single physical system. However, ensuring fault tolerance in virtualized infrastructures remains a significant challenge due to hardware failures, software vulnerabilities, and cyber threats. Traditional fault tolerance mechanisms often rely on centralized orchestration, which introduces single points of failure and requires extensive manual intervention. This paper proposes a blockchain-based approach to fault tolerance in virtualized environments, leveraging smart contracts to automate fault detection, response, and recovery. By implementing a proof-of-concept on the Ethereum platform, the proposed method enhances system resilience through decentralized, tamper-resistant, and autonomous fault management. Experimental results show that our approach reduces fault detection time by 15% (from 3.5 seconds to 2.98 seconds), decreases migration downtime by 10% (from 2.8 seconds to 2.52 seconds), and improves decision-making efficiency by 70% (from 5 seconds to 1.5 seconds) compared to centralized solutions. Although blockchain introduces a minimal 0.2s overhead per transaction and a 1ms increase in network latency, these trade-offs are outweighed by the benefits of improved security, transparency, and automation. These findings indicate that blockchain integration significantly enhances the reliability, efficiency, and resilience of fault-tolerant virtualized environments.

Authors

Institutions

Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/ciacon65473.2025.11189696
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Blockchain-Based Approach to Fault Tolerance in Virtual Machine Management

Kulandaivelu Mahalingam, P. Sivakumar, Emmanuel Nicholas
Cloud Computing and Resource Management
article

A Blockchain-Based Approach to Fault Tolerance in Virtual Machine Management

Kulandaivelu Mahalingam, P. Sivakumar, Emmanuel Nicholas
article en

Abstract

Virtualization has revolutionized modern computing by enabling multiple simulated environments to run on a single physical system. However, ensuring fault tolerance in virtualized infrastructures remains a significant challenge due to hardware failures, software vulnerabilities, and cyber threats. Traditional fault tolerance mechanisms often rely on centralized orchestration, which introduces single points of failure and requires extensive manual intervention. This paper proposes a blockchain-based approach to fault tolerance in virtualized environments, leveraging smart contracts to automate fault detection, response, and recovery. By implementing a proof-of-concept on the Ethereum platform, the proposed method enhances system resilience through decentralized, tamper-resistant, and autonomous fault management. Experimental results show that our approach reduces fault detection time by 15% (from 3.5 seconds to 2.98 seconds), decreases migration downtime by 10% (from 2.8 seconds to 2.52 seconds), and improves decision-making efficiency by 70% (from 5 seconds to 1.5 seconds) compared to centralized solutions. Although blockchain introduces a minimal 0.2s overhead per transaction and a 1ms increase in network latency, these trade-offs are outweighed by the benefits of improved security, transparency, and automation. These findings indicate that blockchain integration significantly enhances the reliability, efficiency, and resilience of fault-tolerant virtualized environments.

Vellore Institute of Technology University (IN)
Openalex Percentile: Top 59%
Cloud Computing and Resource Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.