A policy-based management architecture for mobile collaborative teams

Eskindir Asmare, A. Gopalan, M. Sloman, Naranker Dulay, Emil C. Lupu
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引用次数: 8

Abstract

Many missions are deemed dangerous or impractical to perform by humans, but can use collaborating, self-managing Unmanned Autonomous Vehicles (UAVs) which adapt their behaviour to current context, recover from component failure or optimise performance. This paper describes a policy-based distributed self-management framework for both individual and teams of UAVs. We use three levels of specifications — policy, mission class and mission instance to enable reuse of both policies and mission classes. The architecture has been tested on devices ranging from small laptops to body area networks. Initial evaluation shows the distributed architecture is scalable and outperforms a centralised mission management scheme.
针对移动协作团队的基于策略的管理体系结构
许多任务被认为是危险的或不切实际的,无法由人类执行,但可以使用协作,自我管理的无人驾驶汽车(uav),它们可以根据当前环境调整其行为,从组件故障中恢复或优化性能。本文描述了一种基于策略的无人机个体和团队分布式自我管理框架。我们使用三个级别的规范——策略、任务类和任务实例来实现策略和任务类的重用。该架构已经在从小型笔记本电脑到身体区域网络的各种设备上进行了测试。初步评估表明,分布式架构具有可扩展性,优于集中式任务管理方案。
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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