Konveyor Move2Kube:一个用于自动应用程序重新平台的框架

Q1 Computer Science IEEE Cloud Computing Pub Date : 2022-07-01 DOI:10.1109/CLOUD55607.2022.00031

P. V. Seshadri, Harikrishnan Balagopal, Akash Nayak, Ashok Pon Kumar, Pablo Loyola

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引用次数: 0

摘要

我们介绍Move2Kube，这是一个重新平台化的框架，可以自动创建和转换应用程序的DevOps构件，以便在云原生环境中部署。我们的贡献包括一个可定制的转换器框架，它允许完全控制正在处理的工件和生成的输出。我们提供了案例研究和基于开源基准的证据，将Move2Kube与类似的最先进的工具进行比较，以证明其在减少工作量、多样化实用程序和突出未来工作方面的有效性。Move2Kube是作为一个开源社区项目开发的，它可以在https://move2kube.konveyor.io/上获得

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Konveyor Move2Kube: A Framework For Automated Application Replatforming

We present Move2Kube, a replatforming framework that automates the creation and transformation of DevOps artifacts of an application for deployment in a Cloud Native environment. Our contributions include a customizable transformer framework that allows for complete control over the artifacts being processed, and output generated. We provide case studies and open-source benchmark-based evidence comparing Move2Kube with similar state-of-the-art tools to demonstrate its effectiveness in terms of effort reduction, diverse utility, and highlight future lines of work. Move2Kube is being developed as an open-source community project and it is available at: https://move2kube.konveyor.io/

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来源期刊

IEEE Cloud Computing Computer Science-Computer Networks and Communications

CiteScore

11.20

自引率

0.00%

发文量

期刊介绍： Cessation. IEEE Cloud Computing is committed to the timely publication of peer-reviewed articles that provide innovative research ideas, applications results, and case studies in all areas of cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques are covered. More specifically: Cloud software, Cloud security, Trade-offs between privacy and utility of cloud, Cloud in the business environment, Cloud economics, Cloud governance, Migrating to the cloud, Cloud standards, Development tools, Backup and recovery, Interoperability, Applications management, Data analytics, Communications protocols, Mobile cloud, Private clouds, Liability issues for data loss on clouds, Data integration, Big data, Cloud education, Cloud skill sets, Cloud energy consumption, The architecture of cloud computing, Applications in commerce, education, and industry, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS)