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RADON: rational decomposition and orchestration for serverless computing

机译:氡:无服务器计算的理性分解和编排

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摘要

Emerging serverless computing technologies, such as function as a service (FaaS), enable developers to virtualize the internal logic of an application, simplifying the management of cloud-native services and allowing cost savings through billing and scaling at the level of individual functions. Serverless computing is therefore rapidly shifting the attention of software vendors to the challenge of developing cloud applications deployable on FaaS platforms. In this vision paper, we present the research agenda of the RADON project, which aims to develop a model-driven DevOps framework for creating and managing applications based on serverless computing. RADON applications will consist of fine-grained and independent microservices that can efficiently and optimally exploit FaaS and container technologies. Our methodology strives to tackle complexity in designing such applications, including the solution of optimal decomposition, the reuse of serverless functions as well as the abstraction and actuation of event processing chains, while avoiding cloud vendor lock-in through models.
机译:新兴的无服务器计算技术,例如函数作为服务(FAAS),使开发人员能够虚拟化应用程序的内部逻辑,简化云本机服务的管理,并通过在各个功能的级别通过计费和缩放来节省成本。因此,无服务器计算迅速将软件供应商的注意力迅速转化为开发在FAAS平台上部署的云应用程序的挑战。在此视觉纸张中,我们展示了Radon项目的研究议程,旨在开发一个模型驱动Devops框架,用于基于无服务器计算创建和管理应用程序。 Radon应用程序将包括精细颗粒和独立的微服务,可有效地利用FAAS和集装箱技术。我们的方法致力于解决这些应用程序的复杂性,包括最佳分解的解决方案,重用无服务器功能以及事件处理链的抽象和致动,同时通过模型避免云供应商锁定。

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