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

机译:分布式,嵌入式系统中的建模,量化,优化 - 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:在过去十年中,能源效率成为IT领域中最具挑战性的研究领域之一。优化大规模硬件基础架构后,例如计算中心或服务器集群,如今焦点已迅速更改。目前的研发项目与两个主要领域交易。在一方面嵌入,能量自给系统架构以及另一方面的无线通信技术,以实现移动操作。由于这些平台内的能量资源强烈有限,系统运行时表示关键参数。特别是在分布式环境中具有多个系统的合作情景的情况下,有效的通信功能和所有系统的可用性对于确保稳健的操作至关重要。因此,优化策略是延长运行计划并改善通信行为所必需的。在本文中,我们重点讨论了分布式嵌入式系统的能效,重点是通信方面。我们介绍了易于使用的估计模型以及用于量化能效的各个成本函数。在这种情况下,我们在不同抽象层上评估了关于他们的能效及其对通信行为的影响的几个优化策略。我们分析了唤醒接收器技术以及现代数据聚集方法 - 行星。实施的实际测试方案表示具有特定唤醒接收器的硬件平台的无线网络拓扑。结果澄清,即如果配置方案适合环境条件,则可以显着改善能量效率。

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