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CacheL - A Cache Algorithm Using Leases for Node Data in the Internet of Things

机译:CacheL-一种使用租赁的物联网中节点数据的缓存算法

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Wireless Sensor Networks (WSNs) allow applications to interact with the physical world using sensing nodes deployed in an Internet of Things (IoT). Many WSN sensing nodes have constrained computing and memory capabilities. This paper details a new cache algorithm suitable for use on constrained nodes and its use in an architecture incorporating caching and the flow of data from sensors to services, possibly Cloud-based. This cache algorithm is influenced by the Clock paging algorithm and manages the leases of cached data in its replacement policy, removing the need for a separate process for this. This paper presents implementations of the algorithm in C on the Contiki OS and Java, compares its performance to LRU and considers its suitability for use on constrained WSN nodes.
机译:无线传感器网络(WSN)允许应用程序使用部署在物联网(IoT)中的传感节点与物理世界进行交互。许多WSN传感节点的计算和存储能力受到限制。本文详细介绍了一种适用于受限节点的新缓存算法,并将其用于包含缓存和从传感器到服务的数据流(可能基于云)的体系结构中。此缓存算法受时钟分页算法的影响,并在其替换策略中管理缓存数据的租约,从而无需为此进行单独的处理。本文介绍了该算法在Contiki OS和Java上的C语言实现,将其性能与LRU进行了比较,并考虑了其在受约束的WSN节点上的适用性。

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