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Journal articles on the topic 'Zero-downtime migration'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Lama, Ashok. "Seamless Database Migrations: Achieving Zero Downtime." Journal of Software Engineering and Simulation 11, no. 4 (2025): 28–31. https://doi.org/10.35629/3795-11042831.

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This paper examines several strategies for seamless database migrations, such as blue-green deployments, canary releases, and database versioning. By putting these strategies into practice, organizations can guarantee that their applications remain operational during migrations, improving user experience and maintaining business continuity. The results demonstrate the effectiveness of these strategies in minimizing risks and improving overall migration success. This paper discusses the critical importance of achieving zero-downtime during database migrations in modern software development, as

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2

Tharun Damera. "Zero-Downtime Migration Strategies for Large-Scale Distributed Services." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 179–87. https://doi.org/10.32628/cseit2511123934.

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Zero-downtime migration strategies for large-scale distributed services present significant challenges in maintaining system reliability and user satisfaction. This comprehensive article explores various approaches including progressive traffic shifting, blue-green deployments, and canary releases, focusing on their implementation in modern cloud-native environments. The article examines critical aspects such as data consistency mechanisms, service mesh architectures, automated rollback systems, and orchestrated deployment pipelines. Through detailed investigation of real-world implementations

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Gopalan, Karuppusamy. "Ensuring Seamless Oracle Database Migration: Strategies for Zero - Downtime Cloud Transition." International Journal of Science and Research (IJSR) 14, no. 3 (2025): 590–92. https://doi.org/10.21275/sr25311000756.

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4

Mahipal Reddy Yalla. "Future of Zero-Downtime Storage Migrations: How AI and Automation are Redefining Data Movement." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 431–37. https://doi.org/10.32996/jcsts.2025.7.5.53.

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Storage migrations have historically been one of the most challenging aspects of IT infrastructure management, requiring extensive downtime and creating significant business disruption. The emergence of artificial intelligence and automation technologies has fundamentally transformed this landscape, enabling near-zero and true-zero downtime approaches that preserve business continuity while modernizing critical infrastructure. This article examines the evolution of storage migration methodologies from traditional high-downtime approaches to contemporary AI-driven frameworks that dramatically r

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Raja, Venkata Sandeep Reddy Davu. "Zero-Downtime Cloud Migration in Healthcare: Ensuring Uninterrupted Patient Care and Data Security." European Journal of Advances in Engineering and Technology 6, no. 8 (2019): 87–94. https://doi.org/10.5281/zenodo.13789684.

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Cloud computing is replacing on-premises IT infrastructure in the healthcare business due to scalability issues and rising data volumes. This study discusses zero-downtime cloud migration in healthcare and how to secure data while maintaining patient care. Zero-downtime migration prevents clinical workflow and patient outcomes interruptions. This comprehensive healthcare cloud migration guide highlights improved disaster recovery, economic efficiency, and flexibility. In the planning phase, the study focuses on assessment, preparedness, strategic planning, and risk assessment. These migration

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Yalla, Mahipal Reddy. "SmartSAN AI: An AI-Powered Framework for Zero-Downtime Storage Area Network Migrations." European Journal of Computer Science and Information Technology 13, no. 32 (2025): 46–54. https://doi.org/10.37745/ejcsit.2013/vol13n324654.

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SmartSAN AI represents a transformative framework designed to address the inherent complexities of Storage Area Network migrations in modern enterprise environments. As organizations increasingly transition to hybrid and multi-vendor storage ecosystems, traditional migration methodologies frequently result in extended downtime windows and significant operational disruption. The framework delivers a comprehensive solution through intelligent automation across the entire migration lifecycle, incorporating advanced machine learning capabilities for discovery, compatibility validation, and orchest

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Kulkarni, Vikas. "Data Migration Strategies In Banking Mergers: Ensuring Zero Downtime." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–6. https://doi.org/10.55041/ijsrem27522.

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Data migration is a critical component of banking mergers, where the seamless integration of disparate systems is essential to ensure operational continuity and customer satisfaction. This paper explores comprehensive strategies to achieve zero-downtime data migration in the context of banking mergers, addressing the unique technological and regulatory challenges faced by financial institutions. Key migration methodologies, including phased approaches, big bang strategies, parallel runs, and blue-green deployments, are analyzed for their applicability and effectiveness in various scenarios. Te

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Researcher. "AUTOMATED DATA MIGRATION IN CLOUD ENVIRONMENTS: CHALLENGES AND SOLUTIONS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 262–74. https://doi.org/10.5281/zenodo.14065654.

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This article presents a comprehensive analysis of the challenges and solutions associated with automated data migration in cloud environments, addressing the critical needs of modern enterprise digital transformation. Through extensive examination of industry practices, emerging technologies, and case studies, we identify key challenges including data integrity preservation, downtime minimization, and business continuity maintenance. While many organizations are adopting cloud-first strategies, successful migration remains a significant challenge, with 40% of projects exceeding planned downtim

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Ramakrishna Pittu. "Zero-Downtime Cloud Migration Strategies for Enterprise-Scale Databases: Architectural Patterns and Implementation Frameworks." Journal of Computer Science and Technology Studies 7, no. 7 (2025): 859–65. https://doi.org/10.32996/jcsts.2025.7.7.93.

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Zero-downtime database migration is critical for enterprises transitioning from on-premises systems to cloud platforms without disrupting business operations. This article proposes architectural patterns and implementation frameworks designed to support the seamless transfer of large-scale databases—ranging from terabytes to petabytes—while maintaining continuous availability. It examines multiple migration strategies, including lift-and-shift, re-platforming, and re-architecting, each evaluated for complexity, risk, and transformation value. The proposed frameworks integrate real-time data re

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Parate, Vrushali. "Hadoop To Bigquery: Migrating Automotive Data Lakes Without Downtime." American Journal of Interdisciplinary Innovations and Research 07, no. 07 (2025): 16–27. https://doi.org/10.37547/tajiir/volume07issue07-03.

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The automotive industry is undergoing a tremendous increase in data generation, mostly driven by advancements in vehicle technology, connectivity, and autonomous driving features. The Apache Hadoop data lake was adopted by companies to store and analyze the huge volume, velocity, and variety of automotive data. However, with technological advancement and the need for real-time analytics, operational complexity, scalability, and cost efficiency, Apache Hadoop-based data lakes started presenting challenges. Google BigQuery, on the other hand, is a fully managed, serverless data warehouse and ana

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11

Bhatt, Sachin, and Suman Narne. "Streamlining OS/DB Migrations for SAP Environments: A Comparative Analysis of Tools and Methods." Stallion Journal for Multidisciplinary Associated Research Studies 2, no. 4 (2023): 14–27. https://doi.org/10.55544/sjmars.2.4.3.

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An evaluation of various tools and activities in the process of the OS/DB migrations in SAP context is the goal of this research paper. They assess the major instruments that are SAP Software Update Manager (SUM) together with Oracle Goldengate and migration approaches like Standard Migration also, Near-Zero Downtime Migration (NZDM). Each of the tools is described in terms of the features it offers, advantages, and disadvantages it has in comparison with the other tools, and the real-life applications of the tools are analysed. Examples include best practice examples, which point out and expl

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Maheshbhai, Kansara. "A Structured Lifecycle Approach to Large-Scale Cloud Database Migration: Challenges and Strategies for an Optimal Transition." Applied Research in Artificial Intelligence and Cloud Computing 5, no. 1 (2022): 237–61. https://doi.org/10.5281/zenodo.15033898.

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Abstract Large-scale cloud database migration represents one of the most important activities that organizations undertake in modernizing their infrastructures to tap into the elasticity, global reach, and cost optimization native to the cloud. Moving complex database environments from on-premise systems to the cloud is fraught with challenges that range from incomplete legacy documentation and heterogeneous data stores to high stakes in security and compliance. A seven-phase life cycle is described here: Assessment and Strategy Formation, Planning and Design, Proof of Concept or Pilot, Execut

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Venkata, Raman Immidisetti. "Seamless VMware Workload Migration to Microsoft Azure Using Zerto: A Hypervisor-Based Replication Approach." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 8, no. 5 (2022): 1–6. https://doi.org/10.5281/zenodo.14944996.

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The adoption of hybrid cloud architectures is strategic for enterprises integrating on-premises VMware environments with Microsoft Azure for enhanced scalability, flexibility, and disaster recovery (DR). Organizations face challenges migrating workloads to different Azure regions due to conflicts between Azure Site Recovery (ASR) and Azure Migrate, which use agent-based replication. These conflicts cause operational inefficiencies, replication failures, and data inconsistencies, complicating cloud migration efforts. This study investigates Zerto as an efficient alternative for workload migrati

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14

Srinivas Reddy Pinnapureddy. "SAP Cloud Migration: Strategies, Challenges, and Best Practices." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 845–53. https://doi.org/10.32628/cseit25111288.

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This comprehensive technical article explores the strategies, challenges, and best practices for successful SAP cloud migration in today's rapidly evolving digital landscape. It examines various aspects of cloud migration, including market trends, implementation approaches, and critical success factors. The article provides detailed insights into three primary migration strategies: Greenfield, Brownfield, and Bluefield, along with their respective technical considerations and use cases. It covers cloud platform selection criteria, focusing on major providers like AWS, Azure, and GCP, while dis

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Davisson, Ed, Tilo Dickopp, David Gay, Eric Karasuda, Ram Kesavan, and Vadim Yushprakh. "Transparent Migration from Datastore to Firestore." Proceedings of the VLDB Endowment 17, no. 12 (2024): 3960–72. http://dx.doi.org/10.14778/3685800.3685819.

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Datastore was one of Google's first cloud databases, launched initially as part of App Engine, and built over Google's internal Megastore database system. Firestore was launched in 2019, both a re-implementation of Datastore over Google's Spanner database system and a new, mobile and web-friendly Firestore API. Spanner was chosen as the storage engine of Firestore in particular for technical reasons---it provides unrestricted transaction capabilities, strong consistency guarantees, and other improvements over Megastore. To provide these improvements to all our customers, and simplify our overa

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16

Kim, Taewoon. "Implementation of the Zero-Downtime Service Migration System for Mobile Edge Computing Based on Containerization." Journal of Korean Institute of Communications and Information Sciences 47, no. 4 (2022): 690–99. http://dx.doi.org/10.7840/kics.2022.47.4.690.

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17

Ayyagiri, Aravind, Pandi Kirupa Gopalakrishna Pandian, and Punit Goel. "Efficient Data Migration Strategies in Sharded Databases." Journal of Quantum Science and Technology 1, no. 2 (2024): 72–87. http://dx.doi.org/10.36676/jqst.v1.i2.17.

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Data migration in sharded databases brings distinct problems and possibilities owing to data distribution over several shards or partitions. Data migration solutions must be efficient as enterprises use sharding to improve performance, scalability, and fault tolerance. Effective data migration solutions for sharded databases are discussed in this study to provide smooth transitions, low downtime, and data integrity. Sharded databases disperse big datasets into manageable shards among servers or nodes. By balancing demand and reducing single points of failure, this distribution increases query

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18

Naveen Karuturi. "Cloud Migration Strategies for Utility Companies: Addressing Unique Infrastructure and Regulatory Challenges." Journal of Computer Science and Technology Studies 7, no. 3 (2025): 84–96. https://doi.org/10.32996/jcsts.2025.7.3.10.

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Cloud migration offers utility companies significant opportunities to enhance operational efficiency, improve customer experiences, and reduce costs, but presents unique challenges due to critical infrastructure status and strict regulatory environments. This article explores specialized cloud migration strategies for utility companies, focusing on maintaining operational continuity while ensuring compliance. The utility sector faces distinctive considerations including mission-critical systems with near-zero tolerance for downtime, operational technology integration with information technolog

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19

Netinant, Paniti, Nattapat Saengsuwan, Meennapa Rukhiran, and Sorapak Pukdesree. "Enhancing Data Management Strategies with a Hybrid Layering Framework in Assessing Data Validation and High Availability Sustainability." Sustainability 15, no. 20 (2023): 15034. http://dx.doi.org/10.3390/su152015034.

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Individuals and digital organizations deal with a substantial amount of collected data required for performing various data management strategies, such as replacing, upgrading, and migrating existing data from one system to another, while supporting the data’s complexity, authenticity, quality, and precision. Failures in data migration can result in data and service interruptions, financial losses, and reputational harm. This research aims to identify the specific challenges of a data management strategy, develop a comprehensive framework of data migration practices, and assess the efficacy of

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20

Maheshbhai, Kansara. "Advancements in Cloud Database Migration: Current Innovations and Future Prospects for Scalable and Secure Transitions." Sage Science Review of Applied Machine Learning 7, no. 1 (2024): 127–43. https://doi.org/10.5281/zenodo.15033980.

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<strong>Abstract</strong> Cloud database migration is a seminal transformation in modern data management, constituting the foundation of the evolution from legacy and on-premises environments to scalable and distributed cloud environments. This research paper presents a detailed study of the existing technical challenges and emerging methodologies in cloud database migration with special emphasis on automation, data integrity, and optimization of performance. The study covers advanced migration paradigms that employ state-of-the-art virtualization, container orchestration, and machine learning

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21

Ruswita, Istiana, Yulya Muharmi, and Dhella Amelia. "Analysis and Design of Website-Based E-Business Information Systems in Heavy Equipment Companies." Jurnal Pepadun 6, no. 1 (2025): 32–38. https://doi.org/10.23960/pepadun.v6i1.261.

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This study aims to formulate a framework for designing an e-business information system that is in line with the characteristics of business processes, organizational culture, and stakeholder needs in heavy equipment companies in Indonesia. The companies that focus their business on providing heavy equipment and spare parts, automotive component distributors, and collaborating with financial service providers who are starting a digital transformation. Data was obtained through: (1) in-depth interviews with 10 key informants (marketing managers, operational managers, spare parts managers, finan

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22

Jatinkumar Oza. "Near zero downtime transformations: automation approaches in SAP applications landscape modernizations/upgrades/cloud transformations." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 586–98. https://doi.org/10.30574/wjaets.2025.15.3.0926.

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Enterprise systems like SAP are mission-critical, and downtime during upgrades or migrations carries significant financial and operational consequences. This article explores emerging automation-centric strategies that enable zero downtime transformations in SAP landscapes, particularly for S/4HANA upgrades and cloud migrations. The strategies are categorized into technical enablers such as SUM with ZDO and nZDM, architectural patterns including dual landscape and blue-green deployments, and automation frameworks leveraging CI/CD, infrastructure as code, and AI-driven monitoring. Drawing on ca

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23

Cao, Huijie, Chenfeng Huang, Shengchi Liu, et al. "Aion: Live Migration for In-Memory Databases with Zero Downtime and Reduced Redundant Data Transfer." Data Science and Engineering, January 15, 2025. https://doi.org/10.1007/s41019-024-00276-5.

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Abstract Distributed in-memory databases are widely adopted to achieve low latency and high bandwidth for data-intensive applications. They support scale-out by sharding and distributing data across multiple nodes. To efficiently adapt to various workloads, distributed in-memory databases must be capable of migrating shards across nodes. In this paper, we demonstrate that state-of-the-art approaches experience significant performance degradation during migration due to service downtime and redundant data transfer. Furthermore, our findings indicate that the presence of service downtime constra

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24

Yaser Mowlawizadah. "Open Source, Low Cost, Zero Downtime and Optimized Live Migration." International Journal of Engineering Research and V9, no. 07 (2020). http://dx.doi.org/10.17577/ijertv9is070645.

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25

Alqam, Shahd, Nasser Alzeidi, Abderrezak Touzene, and Khaled Day. "Live Virtual Machine Migration in Fog Computing: State of the Art." International Arab Journal of Information Technology 20, no. 6 (2023). http://dx.doi.org/10.34028/iajit/20/6/14.

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Fog computing is an emerging paradigm which extends the functionality of the cloud near to the end users. Its introduction helped in running different real-time applications where latency is a critical factor. This paradigm is motivated by the fast growth of Internet of Things (IoT) applications in different fields. By running Virtual Machines (VMs) on fog devices, different users will be able to offload their computational tasks to fog devices to get them done in a smooth, transparent, and faster manner. Nevertheless, the performance of real-time applications might suffer if no proper live vi

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26

"Hybrid Data Protection Framework to Enhance A2O Functionality in Production Database Virtualization." International Journal of Recent Technology and Engineering 8, no. 6 (2020): 5691–97. http://dx.doi.org/10.35940/ijrte.f1203.038620.

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Deluge of information flows in the unprecedented scenario of smart city development trend, hence prone to issues on stability, reliability and availability. Smart data storage resources are vulnerable to provide functionality Always Available Online (A2O) due to their inherent heavy dependence on System Down Time (SDT), Redundant Systems and Software Failure (RS2F) or whole/ multiple site failures. In the absence of Production Database Management Services (PDMS), duplicate deployment of similar data on disjoint but similar architecture provides a Tightly Coupled Ultimate System (TCUS), which a

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