Mitigating Downtime in Cloud Migrations: a Novel Approach with Real-time Application Replication and Selective Cutover

EasyChair Preprint no. 13828

Abstract

Cloud migration is a critical process for organizations aiming to leverage the scalability, agility, and cost-effectiveness of cloud computing. However, the challenge of minimizing downtime during migrations, particularly during the critical cutover phase, remains significant. This research introduces Real-time Application Replication with Selective Cutover (RTAR-SC), a novel approach designed to address the limitations of existing techniques such as pre-copy and post-copy migration. RTAR-SC utilizes continuous replication, real-time performance monitoring, and data-driven cutover decisions to ensure minimal downtime and disruptions.

The methodology involves detailed analysis and simulations using specified parameters, including a 500 Mbps internet speed and a 1 TB data distribution across web applications, databases, and file servers. Results demonstrate that RTAR-SC significantly reduces downtime compared to traditional full cutover methods, achieving a 67% reduction in service disruptions. Furthermore, RTAR-SC ensures data consistency through continuous replication and mitigates risks with a staged cutover approach, enhancing reliability and scalability.

This research highlights the efficacy of RTAR-SC in providing a robust solution for seamless cloud migrations, paving the way for future advancements in automated and AI-driven optimization techniques.

Keyphrases: Cloud Computing, Cloud Migration, Continuous Data Replication, Cutover Strategy, data consistency, downtime reduction, IT infrastructure, Migration Techniques, operational efficiency, Phased Migration, Real-time Application Replication, Risk Mitigation, Scalability, Selective Cutover, service continuity

@Booklet{EasyChair:13828,
  author = {Ahmed Saleh and Ashraf Abdelmonem},
  title = {Mitigating Downtime in Cloud Migrations: a Novel Approach with Real-time Application Replication and Selective Cutover},
  howpublished = {EasyChair Preprint no. 13828},

  year = {EasyChair, 2024}}