Policy-Based Management for Resource-Constrained Devices and Systems

Oliver Dohndorf, Jan Krüger, H. Krumm, Christoph Fiehe, Anna F. Litvina, Ingo Lück, F. Stewing
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引用次数: 3

Abstract

The presented policy-based management system supports autonomous control and adaptation of a distributed system according to changing conditions and requirements by means of event-condition-action (ECA) rules. Furthermore, it supports policy-aware application programming. Application components can request evaluations of policy expressions and decisions in order to govern their behavior depending on global system state and environment conditions. That rich functionality has to be provided very efficiently since the distributed system consists of resource-constrained devices. The model-based management (MBM) approach is applied separating comfortable tool-assisted policy definition and refinement at design time from lightweight runtime policy enforcement. New enhancements of MBM extend the policy refinement to the derivation of ECA rules. The new backend functions generate executable Java byte code for policy expressions and decisions as well as for policy rules. The code is appropriately partitioned and allocated to the devices. A simplified healthcare scenario demonstrates the approach and its application.
资源受限设备和系统的策略管理
本文提出的基于策略的管理系统通过事件-条件-行动(ECA)规则支持根据变化的条件和需求对分布式系统进行自主控制和调整。此外,它还支持策略感知的应用程序编程。应用程序组件可以请求策略表达式和决策的评估,以便根据全局系统状态和环境条件来管理它们的行为。由于分布式系统由资源受限的设备组成,因此必须非常有效地提供丰富的功能。应用了基于模型的管理(MBM)方法,将设计时舒适的工具辅助策略定义和细化与轻量级运行时策略实施分离开来。MBM的新增强功能将策略细化扩展到ECA规则的派生。新的后端函数为策略表达式和决策以及策略规则生成可执行的Java字节码。代码被适当地分区并分配给设备。一个简化的医疗保健场景演示了该方法及其应用。
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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