一种非侵入式的基于组件的方法,用于部署意外的自我管理行为

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引用次数: 29

摘要

通过基于组件的体系结构解决方案来支持自我管理行为已经成为当前许多研究项目的焦点。在这样的上下文中,处理未预料到的更改而不影响特定于应用程序的软件工件是一个具有挑战性的问题。在本文中,我们提出了一种基于组件的解决方案,用于规范和执行自我管理行为,该解决方案将特定于应用程序的软件工件与特定于自治的软件工件解耦(非侵入式方法),并支持分布式异构环境中意想不到的更改。我们描述了用于环境监视、适应策略规范和更改重新部署的设计组件,并提供了一个构建在CIAO中间件之上的参考实现——一个支持组件和连接器动态重新配置的轻量级CORBA组件模型实现。我们还提出了两个评估实验,提供了分布式工业监控系统的自优化和自修复行为。
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A non-intrusive component-based approach for deploying unanticipated self-management behaviour
Supporting self-management behaviour by means of component-based architectural solutions has been the focus of many current research projects. In such a context, handling unanticipated changes with no impacts in application-specific software artefacts is a challenging problem. In this paper, we present a component-based solution for the specification and execution of self-management behaviour that decouples application-specific from autonomic-specific software artefacts (non-intrusive approach) and supports unanticipated changes in distributed heterogeneous environments. We describe the designed components for environment monitoring, adaptation policies specification, and changes redeployment and present a reference implementation built on top of CIAO middleware - a Lightweight CORBA Component Model implementation that supports dynamic reconfiguration of components and connectors. We also present two evaluation experiments, which provide self-optimization and self-healing behaviour in a distributed industrial supervision and control system.
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