用于在混合云编排引擎上实现服务的声明性方法

Neeraj Asthana, Tom Chefalas, A. Karve, A. Segal, Mahika Dubey, Sai Zeng
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引用次数: 3

摘要

混合云环境的复杂性和规模的快速增长需要在编排和自动化方面改进服务管理能力。当前的方法侧重于提供基础设施,但缺乏一致地启用和执行托管服务上的操作活动的功能。我们提出了一种数据驱动的方法,从服务描述符元数据动态生成编排引擎插件。我们的方法通过将托管服务表示为可重用蓝图中的代码来扩展编排引擎,从而加速服务部署并简化管理活动。在我们的工作中,我们提供了一个数据模型和系统架构,以允许服务提供者轻松地为广泛的公共和私有服务编写和发布资源定义。这些定义可以组合到解决方案蓝图中,形成托管工作负载的声明性和可重用表示。在提供工作负载之后,管理员可以查看服务实例数据并调用操作活动。为了进行评估,我们描述了混合云工作负载的编写和编排,并讨论了我们的解决方案与当前方法的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A declarative approach for service enablement on hybrid cloud orchestration engines
The rapidly increasing complexity and scale of hybrid cloud environments requires improved service management capabilities in orchestration and automation. Current methods focus on provisioning infrastructure but lack functionality for consistently enabling and performing operational activities on managed services. We propose a data-driven approach to dynamically generate Orchestration Engine plugins from service descriptor metadata. Our approach extends Orchestration Engines by representing managed services as code within reusable blueprints in order to accelerate service deployments and ease management activities. In our work, we provide a data model and system architecture to allow service providers to easily author and publish resource definitions for a wide range of public and private services. These definitions may be combined into solution blueprints, forming a declarative and reusable representation of a managed workload. After provisioning a workload, administrators can view service instance data and invoke operational activities. For evaluation, we describe the authoring and orchestration of a hybrid cloud workload and discuss the strengths of our solution versus current methods.
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