Relevant bibliographies by topics / Automated Cloud Migration

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Automated Cloud Migration'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Automated Cloud Migration"

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MIKHALEVSKYI, V., G. MIKHALEVSKA, and О. SHOKHANOV. "FEATURES OF THE SYSTEM OF AUTOMATION OF PROCESSES OF CONSTRUCTION OF HYBRID INFRASTRUCTURE WITH TRANSFER OF ALL CONFIGURATION DATA." Computer Systems and Information Technologies 1, no. 1 (2020): 68–74. http://dx.doi.org/10.31891/csit-2020-1-9.

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The main features of the automated system development for synchronizing user data and various aspects of the Exchange Server infrastructure are discussed in the article. The system must make an inventory of the existing environment, make reports, accept data of the enterprise wishes and independently configure the components involved in user migration. The system must also restore all user settings that existed before the migration. It is the description of the automation of the building a hybrid infrastructure processes with the transfer of all configuration data and subsequent automatic conf
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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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Bollineni, Satyadeepak. "A Practical Roadmap for Enterprise Systems to Streamline Cloud Migration Approaches." International Scientific Journal of Engineering and Management 01, no. 01 (2022): 1–7. https://doi.org/10.55041/isjem00108.

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Organizations now see cloud migration as their main strategic approach to obtain scalability while simultaneously lowering their operational costs and boosting system performance. This paper outlines a hands-on guide for infrastructure migration from traditional sites to AWS systems which emphasizes best practices together with automated solutions and security developments as well as cost-saving strategies. It describes important migration steps which includes beginning with creating migration runbooks and building secured AWS AMIs and then using VPC EC2 ELB and CloudWatch services and ending
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Srinithya Kandukuri. "Automated Virtual Machine Migration with Load Shifting Technique Avoiding Latency in Cloud Environment." Communications on Applied Nonlinear Analysis 32, no. 2s (2024): 214–26. http://dx.doi.org/10.52783/cana.v32.2267.

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Efficient management of Virtual Machines (VMs) in cloud computing is one key aspect to achieve the best utilization of resources and performance. The study is about improving Automated Virtual Machine Migration with a Load Shifting Technique in order to reduce latency through the cloud domain. This methodology dynamically distribute the load across multiple VMs by migrating their workloads to other physical hosts determined according certain resource utilization metrics available in real-time. The dynamic and unpredictable nature of cloud workloads requires a solution that is more responsive i
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Molleti, Ramasankar. "DEPLOYING EFFICIENT STRATEGIES TO ACHIEVE SEAMLESS CLOUD MIGRATIONS THROUGH ADVANCED DEPLOYMENT AUTOMATIONS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–6. https://doi.org/10.55041/ijsrem11733.

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This paper focuses on how it is possible to bring advanced automation to cloud migrations so as to produce maximal cohesion. It starts with a literature review of cloud migration and focuses on the various automation objectives that simplify security, performance, and operational issues that arise during migration. The study can be divided into how organizations have classified cloud migration strategies and covers trends that include DevOps and serverless architectures. The strategies described in the post range from pre- migration planning, to an extensive guide to automated testing, as well
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Mohit, Thodupunuri. "Migration of On-Premise Databases to Amazon RDS – Challenges and Solutions." Journal of Scientific and Engineering Research 9, no. 11 (2022): 358–63. https://doi.org/10.5281/zenodo.15223062.

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Migrating on-premises databases to Amazon Relational Database Service (RDS) offers organizations benefits such as enhanced scalability, automated maintenance, and managed infrastructure. Key features of Amazon RDS include Multi-AZ deployments, read replicas, and integration with AWS Identity and Access Management (IAM). These features reduce operational overhead through automated patching and elastic storage scaling. However, challenges such as schema incompatibility, network latency, transactional consistency during cutover, and security policy alignment can arise during migration. Compared t
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Researcher. "AUTOMATED CLOUD MIGRATION STRATEGIES FOR ENTERPRISE RESOURCE PLANNING SYSTEMS: A TECHNICAL ANALYSIS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 967–79. https://doi.org/10.5281/zenodo.14281519.

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This comprehensive article examines the integration of cloud automation tools for seamless enterprise system migration, focusing on the transformation of traditional ERP systems to cloud-based infrastructures. The article investigates the implementation of advanced migration technologies, including SAP's Software Provisioning Manager (SWPM), AWS Database Migration Service (DMS), and Terraform, analyzing their impact on migration efficiency, business continuity, and cost optimization. Through a detailed examination of parallel processing frameworks, automated script implementation, and resource
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Sasibhushan Rao Chanthati. "Leveraging Artificial Intelligence for smart cloud migration, reducing cost and enhancing efficiency." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 033–45. https://doi.org/10.30574/wjaets.2025.15.1.0191.

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Cloud computing has become a critical component of modern IT infrastructure, offering businesses scalability, flexibility, and cost efficiency. Unoptimized cloud migration strategies can lead to significant financial waste due to inefficient resource allocation, redundant workloads, and unpredictable cloud expenses. Traditional methods often rely on static provisioning and manual decision-making, leading to suboptimal cloud resource utilization. This research introduces an AI-driven framework for intelligent cloud planning and migration aimed at reducing cloud costs while maintaining high perf
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Artiom, Kuciuk. "Cloud Migration Framework: Transitioning from On-Premises to Azure Cloud for Improved System Reliability and Scalability." American Journal of Applied Sciences 7, no. 2 (2025): 5–11. https://doi.org/10.37547/tajas/volume07issue02-02.

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This article examines the transition from on-premises IT infrastructure to the Microsoft Azure cloud platform, aimed at enhancing the reliability, flexibility, and scalability of information systems. The purpose of the study is to analyze the migration process from an on-premises network to the Microsoft Azure cloud platform. The article explores the stages of migration, including the assessment of the current infrastructure, the design of an architecture based on cloud technologies, and the implementation of monitoring tools and process automation. The methodology is based on theoretical prin
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Gagandeep, Kaur. "A REVIEW PAPER ON DATA MIGRATION FROM PRIVATE CLOUD TO PUBLIC CLOUD USING STEGNOGRAPHY AND CRYPTOGRAPHY." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 8, no. 7 (2019): 99–104. https://doi.org/10.5281/zenodo.3339311.

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Cloud computing has recently became a widely discussed topic in the IT industry. More and more organizations consider using the Cloud, because it enables an easy and cost efficient way of hosting applications, with dynamic scaling and geographical distribution possibilities. Still, it is not clear how and when cloud computing should be used. Existing application are often written in a way that does not really fit a cloud environment well. Also, certain quality attributes (e.g. performance, security or portability) can be affected. More studies are needed on how existing systems should be plugg
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Dissertations / Theses on the topic "Automated Cloud Migration"

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(10197767), Ethan Michael Sneider. "BEST LEADERSHIP PRACTICES OF MULTINATIONAL CORPORATIONS IN THE USE OF AUTOMATED MIGRATION TOOLS IN ADOPTION OF COMMERCIAL CLOUD COMPUTING PLATFORMS: A META-ANALYSIS." Thesis, 2021.

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<p>Transitioning to cloud computing is a complex and major effort for large multinational corporations (MNCs). Automated cloud migration tools (ACMTs) have been developed and are evolving to streamline this process. The potential benefits of their use are reported to be significant in terms of cost, time, and business innovation. Academic research on ACMTs and the best leadership practices for their use has been limited. </p><p> </p><p>The purpose of the research was to identify the best leadership practices of MNCs in the use of automated migration tools for the adoption of commercial cloud c
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Mehra, Kushal. "Automatic Data Migration into the Cloud." Thesis, 2014. http://spectrum.library.concordia.ca/978126/1/Mehra_MASc_S2013.pdf.

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Relational databases have been used for decades to store data. Using scale up, relational databases require a bigger and bigger server with more CPUs, more memory, and more disk storage to keep all the tables to support more concurrent users. However, big servers tend to be highly complex, proprietary, and disproportionately expensive, unlike the low-cost, commodity hardware. Therefore, it becomes important to store data efficiently and compute with massive amount of data, providing high scalability, providing high performance and availability at low costs. This leads to the invention of clou
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Kao, Ming-Tsung, and 高銘聰. "A Decision-making Mechanism of Automated Virtual Machine Live Migration in Private Clouds." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/44087662773698393683.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>101<br>The electronic applications in the management of business operations is inevitable, due to the increasing number of computer hosts in an enterprise. In order to provide a diversity of services, the enterprises have to increase the procurement cost, maintenance cost and electricity cost. The cloud computing has brought an opportunity to reduce operating costs. Through the virtualization technology, we are able to deploy multiple virtual machines on a single physical machine to provide multiple services, in order to efficiently use of computing resources and
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Aquilino, Mariella. "Earth Observation for Sustainable Development Goal 11: methods and tools in support of policies for resilient and inclusive cities." Doctoral thesis, 2022. http://hdl.handle.net/11589/237618.

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L’obiettivo di questo lavoro è l’implementazione di metodi e strumenti basati sui dati di Osservazione della Terra (EO) a supporto dell'Obiettivo di Sviluppo Sostenibile (SDG) 11 dell'Agenda 2030 dell’Organizzazione delle Nazioni Unite (ONU), che mira a “Rendere le città e gli insediamenti umani inclusivi, sicuri, resilienti e sostenibili”. I dati EO sono stati recentemente riconosciuti come una fonte di informazioni fondamentale per la stima degli indicatori SDG. La distribuzione spaziale e densità della popolazione e le mappe degli insediamenti, ottenute da rilievi e metodologie basate su da
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Book chapters on the topic "Automated Cloud Migration"

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Gleb, Taras. "Build Automated Pipeline." In Systematic Cloud Migration. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7252-7_8.

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Raj, Vinay, and Uma Sankararao Varri. "An Automated Approach for Migration of Microservices-Based Applications to Serverless Architecture." In Cloud of Things. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003390954-13.

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Wu, Dannver, Jinho Hwang, Maja Vukovic, and Nikos Anerousis. "BlueSight: Automated Discovery Service for Cloud Migration of Enterprises." In Service-Oriented Computing – ICSOC 2016 Workshops. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68136-8_27.

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Khouibiri, Najia, and Yousef Farhaoui. "Preserving Privacy During BI to Cloud Migration: An Automated Approach to Data Anonymization." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88304-0_83.

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Guazzone, Marco, Cosimo Anglano, and Massimo Canonico. "Exploiting VM Migration for the Automated Power and Performance Management of Green Cloud Computing Systems." In Energy Efficient Data Centers. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33645-4_8.

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Di Martino, Beniamino, Mariangela Graziano, and Serena Angela Gracco. "In-cloud Migration of a Custom and Automatic Booking System." In Advanced Information Networking and Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99619-2_17.

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Yenugula, Manideep. "AI Based Workflow Scheduling and Automatic Migration Planning Model for Cloud Computing." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-4799-3_45.

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Lepiller, Julien, Ruzica Piskac, Martin Schäf, and Mark Santolucito. "Analyzing Infrastructure as Code to Prevent Intra-update Sniping Vulnerabilities." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72013-1_6.

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AbstractInfrastructure as Code is a new approach to computing infrastructure management that allows users to leverage tools such as version control, automatic deployments, and program analysis for infrastructure configurations. This approach allows for faster and more homogeneous configuration of a complete infrastructure. Infrastructure as Code languages, such as CloudFormation or TerraForm, use a declarative model so that users only need to describe the desired state of the infrastructure. However, in practice, these languages are not processed atomically. During an upgrade, the infrastructu
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Zolotow, Clea, Florian Graf, Birgit Pfitzmann, et al. "Transition and Transformation into a Cloud Environment." In Handbook of Research on End-to-End Cloud Computing Architecture Design. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0759-8.ch011.

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It is a challenge to migrate and transform existing workloads into the cloud, especially those requiring the higher standardization of managed services. Covered here are the various types of transition and transformation into the cloud from lift and shift to automated migration; the tooling and automation for the cloud environment; and the migration services via wave planning and check-pointing to the cloud for customers. Transition and Transformation is an integral part of cloud services, and creating a repeatable, reusable, factory model for a customer ensures a successful cloud migration.
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Almuseelem, Waleed. "Exploring the Impact of AI-Driven Cybersecurity Frameworks on Data Privacy, Security, and Resource Optimization in Cloud Environments." In Cloud Computing - Applications and Sustainable Developments [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1010141.

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Cloud computing has gained traction in the last decade, with many organizations migrating their computing infrastructure to the cloud. Cloud technology provides various benefits to both cloud providers and customers. The migration of computing infrastructure from on-premises to the cloud has helped organizations avoid complexities and challenges associated with non-virtualized computing infrastructure. Cloud computing helps organizations lower operational costs associated with on-premises infrastructure such as energy and physical security. Cloud providers offer low costs regarding access and
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Conference papers on the topic "Automated Cloud Migration"

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Vukovic, Maja, and Jinho Hwang. "Cloud migration using automated planning." In NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2016. http://dx.doi.org/10.1109/noms.2016.7502801.

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Callanan, Shane, Donna O'Shea, and Eoin O'Regan. "Automated Environment Migration to the Cloud." In 2016 27th Irish Signals and Systems Conference (ISSC). IEEE, 2016. http://dx.doi.org/10.1109/issc.2016.7528471.

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Narantuya, Jargalsaikhan, Hannie Zang, and Hyuk Lim. "Automated cloud migration based on network traffic dependencies." In 2017 IEEE Conference on Network Softwarization (NetSoft). IEEE, 2017. http://dx.doi.org/10.1109/netsoft.2017.8004235.

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Kundu, Arghya, and Uyen Trang Nguyen. "PyTPU: Migration of Python Code for Heterogenous Acceleration with Automated Test Generation." In 2023 IEEE/ACIS 8th International Conference on Big Data, Cloud Computing, and Data Science (BCD). IEEE, 2023. http://dx.doi.org/10.1109/bcd57833.2023.10466329.

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Aghabalaee Bonab, Behnaz, and Omid Bushehrian. "A semi-automated reverse engineering method to recommend the best migration-to-cloud strategy." In 2015 International Symposium on Computer Science and Software Engineering (CSSE). IEEE, 2015. http://dx.doi.org/10.1109/csicsse.2015.7369237.

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Barkved, Olav, Jarle Haukås, Anastasia Kochetygova, and Konstantin Monastyrev. "Grane Case Study: From Data and Model Ensembles to Actionable Insights Using a Cloud-Based Innovation Toolkit." In SPE Norway Subsurface Conference. SPE, 2022. http://dx.doi.org/10.2118/209551-ms.

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Abstract Assessing and improving subsurface models is an integral part of any field development project. Scanning through a multitude of data and models to look for opportunities to improve is a challenging task that can be very complex and time consuming if done manually. On the other hand, successful automation of the process typically requires field-specific customization. To address this challenge, a cloud-based innovation toolkit has been developed. The toolkit is a set of Python modules that automate the key steps in comparing reservoir model predictions to various types of observation d
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Xie, Xiaofei, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, and Xiaohong Li. "DiffChaser: Detecting Disagreements for Deep Neural Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/800.

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The platform migration and customization have become an indispensable process of deep neural network (DNN) development lifecycle. A high-precision but complex DNN trained in the cloud on massive data and powerful GPUs often goes through an optimization phase (e.g, quantization, compression) before deployment to a target device (e.g, mobile device). A test set that effectively uncovers the disagreements of a DNN and its optimized variant provides certain feedback to debug and further enhance the optimization procedure. However, the minor inconsistency between a DNN and its optimized version is
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Ejarque, Jorge, Andras Micsik, and Rosa M. Badia. "Towards Automatic Application Migration to Clouds." In 2015 IEEE 8th International Conference on Cloud Computing (CLOUD). IEEE, 2015. http://dx.doi.org/10.1109/cloud.2015.14.

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Lin, Chen, Hongtan Sun, Jinho Hwang, Maja Vukovic, and John Rofrano. "Cloud Readiness Planning Tool (CRPT): An AI-Based Framework to Automate Migration Planning." In 2019 IEEE 12th International Conference on Cloud Computing (CLOUD). IEEE, 2019. http://dx.doi.org/10.1109/cloud.2019.00021.

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Min-Xiou, Chen, and Terng Huai-Hsien. "An Automatic Network Live Migration Mechanism for Cloud Computing." In 3rd International Conference on Computer Science and Service System. Atlantis Press, 2014. http://dx.doi.org/10.2991/csss-14.2014.82.

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