A Model-Based Autonomous Engine for Application Runtime Environment Configuration and Deployment in PaaS Cloud

X. Lan, Yanping Liu, Xing Chen, Yicheng Huang, Bing Lin, Wenzhong Guo
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引用次数: 4

Abstract

Cloud Computing is evolving as a key computing paradigm for sharing resources. One type of Cloud, which provides platform resources including all the elements of application runtime environment, is regarded as PaaS Cloud. The management of PaaS Cloud is a complex task, up to the point, where manual operation is hard to be cost effective. As the application runtime environment is supported by a set of dynamically composed, distributed elements. What is more, in order to achieve a management target, multiple operations have to be applied over the distributed and heterogeneous elements of PaaS Cloud. To improve the management of PaaS Cloud, this paper proposes to support the configuration and deployment of application runtime environment in PaaS Cloud with an autonomous engine. The automation is enabled by the definition of a domain-specific information model, which captures all the related information with the same abstractions, describing the application runtime environment, PaaS Cloud infrastructure and management targets. On top of that, a technique based on Satisfiability is described, which automatically analyses the state of the managed objects and plans required operations for maintaining it. The result from a case study is provided to validate the feasibility of this approach.
PaaS云中基于模型的应用运行时环境配置与部署自治引擎
云计算正在发展成为共享资源的关键计算范式。其中一种云提供平台资源,包括应用程序运行时环境的所有元素,被认为是PaaS云。PaaS云的管理是一项复杂的任务,到目前为止,手工操作很难达到成本效益。由于应用程序运行时环境由一组动态组合的分布式元素支持。更重要的是,为了实现管理目标,必须在PaaS云的分布式和异构元素上应用多个操作。为了提高PaaS云的管理水平,本文提出用自主引擎支持PaaS云中应用运行时环境的配置和部署。自动化是通过定义特定于领域的信息模型来实现的,该模型使用相同的抽象捕获所有相关信息,描述应用程序运行时环境、PaaS云基础设施和管理目标。在此基础上,描述了一种基于Satisfiability的技术,该技术自动分析被管理对象的状态并计划维护它所需的操作。最后给出了一个案例研究的结果,验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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