DATA RETRIEVAL DURING FAILURE OF VIRTUAL MACHINE

Authors: LAKSHMI M R, SHASHANK SHANKAR M,, VINAY KURDEKAR, KARTHIK D

Abstract: Virtualization has become a cornerstone of modern computing, enabling multiple Virtual Machines (VMs) to operate on a single physical server, thereby enhancing resource utilization and scalability. However, one of the significant challenges in virtualized environments is the retrieval of data from VMs that are in a shut-down state. Traditional recovery methods are often inefficient, prone to data corruption, or unable to maintain system integrity. This project aims to explore and implement effective techniques for accessing and recovering data from VMs in various shutdown conditions, considering factors such as storage formats, hypervisor types, and security configurations. By analyzing existing approaches and developing optimized recovery workflows, the project seeks to ensure data integrity, reduce recovery time, and minimize system impact. The outcomes will contribute to improving virtual data resilience in enterprise and cloud environments, offering valuable solutions for system administrators, forensic analysts, and disaster recovery teams.

DOI: http://doi.org/