Policy-Centric Integration and Dynamic Composition of Autonomic Computing Techniques

Fourth International Conference on Autonomic Computing (ICAC'07) Pub Date : 2007-06-11 DOI:10.1109/ICAC.2007.32

R. Anthony

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引用次数: 38

Abstract

This paper presents innovative work in the development of policy-based autonomic computing. The core of the work is a powerful and flexible policy-expression language AGILE, which facilitates run-time adaptable policy configuration of autonomic systems. AGILE also serves as an integrating platform for other self-management technologies including signal processing, automated trend analysis and utility functions. Each of these technologies has specific advantages and applicability to different types of dynamic adaptation. The AGILE platform enables seamless interoperability of the different technologies to each perform various aspects of self-management within a single application. The various technologies are implemented as object components. Self-management behaviour is specified using the policy language semantics to bind the various components together as required. Since the policy semantics support run-time re-configuration, the self-management architecture is dynamically composable. Additional benefits include the standardisation of the application programmer interface, terminology and semantics, and only a single point of embedding is required.

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以策略为中心的集成与自主计算技术的动态组合

本文介绍了基于策略的自主计算发展中的创新工作。这项工作的核心是一个强大而灵活的策略表达语言AGILE，它促进了自治系统的运行时适应性策略配置。AGILE还可以作为其他自我管理技术的集成平台，包括信号处理、自动化趋势分析和实用功能。每种技术都有其独特的优势和适用于不同类型的动态自适应。AGILE平台实现了不同技术的无缝互操作性，每个技术在单个应用程序中执行自我管理的各个方面。各种技术被实现为对象组件。使用策略语言语义指定自我管理行为，以便根据需要将各种组件绑定在一起。由于策略语义支持运行时重新配置，因此自管理体系结构是动态可组合的。其他好处包括应用程序编程接口、术语和语义的标准化，并且只需要一个嵌入点。

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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Fourth International Conference on Autonomic Computing (ICAC'07)

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