首页> 外文会议>Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW), 2012 15th IEEE International Symposium on >Low Power Consumption Data Structure Design for Embedded Applications in Real-Time Systems
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Low Power Consumption Data Structure Design for Embedded Applications in Real-Time Systems

机译:实时系统中嵌入式应用的低功耗数据结构设计

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In the widely used real-time and embedded systems, resources such as memory footprint, energy, are very limited. We try to find solutions -- in the context of data structure design- that are memory efficient and low power consumption in memory usage. We analyze various existing and creative new data structure implementations of a specific embedded application. Low memory cost, data accesses and power consumption are our main criteria during our data structure explorations. 2D and 3D Pareto curves are used to present the trade-off points of different data structure implementations. Thus, the relative optimal data structures can be discovered within the real-time constraints of the application.
机译:在广泛使用的实时和嵌入式系统中,诸如内存占用量,能源之类的资源非常有限。我们尝试在数据结构设计的背景下找到有效的解决方案,这些解决方案具有高效的内存和低的内存使用功耗。我们分析特定嵌入式应用程序的各种现有的和创新的新数据结构实现。内存成本低,数据访问和功耗低是我们进行数据结构探索时的主要标准。 2D和3D Pareto曲线用于表示不同数据结构实现方式的折衷点。因此,可以在应用程序的实时约束内发现相对最佳的数据结构。

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