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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50054
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Data storage and service delivery have become heavily dependent on globally distributed cloud data centers. Despite their efficiency, these data centers remain susceptible to a range of failure scenarios, including hardware breakdowns, system crashes, and environmental disasters. These vulnerabilities highlight the importance of fault-tolerant systems that can maintain service availability and reliability under adverse conditions. One of the most pressing concerns in this space is the development of robust data backup and recovery mechanisms, which are essential for ensuring business continuity. As a response, cloud-based backup solutions have become the standard for supporting disaster recovery, allowing users to restore data quickly after a disruption.To address these challenges, this project introduces an advanced emergency protection model that combines data redundancy with dynamic service migration, triggered by early warning alerts. At the core of this system is HAEdge, a resource allocation framework that offers a probabilistic guarantee of service continuity during physical server failures. HAEdge efficiently manages both primary and backup resources to minimize the overall capacity required for high availability. In the event of a service outage, data recovery operations are performed through integration with VirtualBox, which provides localized storage support and aids in restoring services seamlessly.The system’s flexibility allows users to retrieve their backup data using any internet-connected device with browser capabilities, significantly improving the Recovery Time Objective (RTO). Furthermore, by maintaining high data integrity standards across client systems, the risk of data breaches or the exposure of confidential information—such as financial records—is greatly reduced. This integrated approach to disaster resilience presents a scalable and efficient solution for modern cloud infrastructures.
KEYWORDS
Publication Date
11/5/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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