Modeling and Simulation of Data Protection Systems for Business Continuity and Disaster Recovery

TL;DR

This paper compares cloud-based data recovery solutions through simulation and system dynamics analysis, providing a framework for organizations to select reliable data protection strategies aligned with their operational needs.

Contribution

It introduces a comprehensive framework for evaluating and maintaining data recovery solutions, integrating simulation and System Dynamics for real-world applicability.

Findings

Identified key performance metrics for recovery solutions

Compared reliability of cloud-based recovery systems

Provided guidelines for aligning recovery strategies with business needs

Abstract

In today's corporate landscape, particularly where operations rely heavily on information technologies, establishing a robust business continuity plan, including a disaster recovery strategy, is essential for ensuring swift recuperation following outages. This study presents a comparative analysis of recovery solutions, focusing on systems that operate partially or entirely within cloud environments and assessing their reliability in fulfilling organizational roles securely and dependably. Two such systems were deployed and evaluated in a real-world production setting. Key performance and reliability metrics were identified using simulation software to enhance these systems, alongside a System Dynamics analysis conducted for each. This work proposes a comprehensive framework for selecting and maintaining data protection and recovery solutions within organizational structures, outlining criteria for aligning chosen approaches with operational needs while adhering to predetermined timelines specified in business continuity and disaster recovery plans. The resulting analysis and findings offer actionable insights to guide decision-making when selecting appropriate recovery concepts.