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Modelling, quantification, optimisation - energy efficiency in distributed, embedded systems

机译:建模,量化,优化-分布式嵌入式系统的能源效率

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During the last decade, energy efficiency became one of the most challenging research fields in the IT domain. After optimising large-scaled hardware infrastructures, e.g. computing centres or server clusters, nowadays the focus has changed rapidly. Current R&D projects deal with two major areas. On the one hand embedded, energy self-sufficient system architectures and on the other hand wireless communication technologies to enable mobile operation. Due to strongly limited energy resources within these platforms, the system runtime represents a critical parameter. Especially in case of cooperative scenarios with multiple systems in a distributed environment, efficient communication features and the availability of all systems are essential to ensure a robust operation. Accordingly, optimisation strategies are necessary to prolong the runtime and to improve the communication behaviour. In this paper, we critically discuss energy efficiency in distributed, embedded systems with focus on the communication aspects. We introduce an easy to use estimation model as well as the respective cost functions for quantifying the energy efficiency. In this context, we evaluate several optimisation strategies on different abstraction layers regarding their energy efficiency and their impact on the communication behaviour. We analyse wake-up receiver technologies as well as a modern data aggregation approach - PLANetary. The implemented real-world test scenario represents a wireless network topology with specific, wake-up receiver enabled hardware platforms. The results clarify, that if the configuration scheme fits to the environmental conditions, significant improvements of the energy efficiency are possible.
机译:在过去的十年中,能源效率成为IT领域最具挑战性的研究领域之一。优化大型硬件基础架构后计算中心或服务器集群,如今的重点已经迅速改变。当前的研发项目涉及两个主要领域。一方面,嵌入式能源自给自足的系统架构,另一方面,无线通信技术使移动操作成为可能。由于这些平台中的能源非常有限,因此系统运行时间是一个关键参数。尤其是在分布式环境中与多个系统协作的情况下,有效的通信功能和所有系统的可用性对于确保可靠的运行至关重要。因此,必须采用优化策略来延长运行时间并改善通信行为。在本文中,我们将重点讨论通信方面的分布式嵌入式系统的能效问题。我们介绍了一种易于使用的估算模型以及用于量化能源效率的各个成本函数。在这种情况下,我们评估了不同抽象层的几种优化策略,这些优化策略涉及它们的能效及其对通信行为的影响。我们分析唤醒接收机技术以及现代数据聚合方法-PLANetary。已实现的实际测试场景代表了具有特定的,启用唤醒接收器的硬件平台的无线网络拓扑。结果表明,如果配置方案适合环境条件,则可以显着提高能源效率。

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