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Method, formalization, and algorithms to split topology models for distributed cloud application deployments

机译:拆分拓扑模型以进行分布式云应用程序部署的方法,形式化方法和算法

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摘要

For automating the deployment of applications in cloud environments, a variety of technologies have been developed in recent years. These technologies enable to specify the desired deployment in the form of deployment models that can be automatically processed by a provisioning engine. However, the deployment across several clouds increases the complexity of the provisioning. Using one deployment model with a single provisioning engine, which orchestrates the deployment across the clouds, forces the providers to expose low-level APIs to ensure the accessibility from outside. In this paper, we present an extended version of the split and match method to facilitate the division of deployment models to multiple models which can be deployed by each provider separately. The goal of this approach is to reduce the information and APIs which have to be exposed to the outside. We present a formalization and algorithms to automate the method. Moreover, we validate the practical feasibility by a prototype based on the TOSCA standard and the OpenTOSCA ecosystem.
机译:为了自动化在云环境中的应用程序部署,近年来已经开发了多种技术。这些技术能够以部署模型的形式指定所需的部署,部署模型可以由供应引擎自动处理。但是,跨多个云的部署会增加配置的复杂性。将一个部署模型与单个预配置引擎一起使用(可协调跨云的部署),将迫使提供程序公开低级API,以确保从外部进行访问。在本文中,我们提出了拆分和匹配方法的扩展版本,以促进将部署模型划分为多个模型,每个提供商可以分别部署这些模型。这种方法的目标是减少必须暴露给外部的信息和API。我们提出了一种形式化和算法来自动化该方法。此外,我们通过基于TOSCA标准和OpenTOSCA生态系统的原型验证了实际可行性。

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