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Efficient Cache Consistency Management for Transient IoT Data in Content-Centric Networking
IEEE Internet of Things Journal ( IF 8.2 ) Pub Date : 2022-03-31 , DOI: 10.1109/jiot.2022.3163776
Bohao Feng 1 , Aleteng Tian 1 , Shui Yu 2 , Jack Li 3 , Huachun Zhou 1 , Hongke Zhang 1
Affiliation  

Since Internet of Things (IoT) communications can enjoy many advantages brought by content-centric networking (CCN) in nature, there is an increasing interest on their integration for better information retrieval and distribution. Nevertheless, different from the conventional multimedia traffic of which contents are hardly changed, IoT data are always transient and updated by their producers according to the actual situation. As a result, if without any effective countermeasures, outdated copies are inevitably stored by CCN routers and then distributed to the associated consumers, degrading both caching efficiency and user experience. In fact, most of related policies take little account of information freshness for cached contents, and how to tackle transient IoT data in CCN is still an ignored but crucial issue required for further explorations. Therefore, in this article, we propose an efficient popularity-based cache consistency management scheme, which aims to guarantee freshness of IoT data returned by on-path routers and avoid heavy signalling costs introduced at the same time. Extensive simulations were performed under both real-world scare-free and binary-tree topologies, and corresponding results have proved the efficiency of the proposed scheme in timely evictions of outdated IoT data stored by CCN in-network caching.

中文翻译:


以内容为中心的网络中瞬态物联网数据的高效缓存一致性管理



由于物联网(IoT)通信本质上可以享受以内容为中心的网络(CCN)带来的许多优势,因此人们越来越关注它们的集成以实现更好的信息检索和分发。然而,与内容几乎不变的传统多媒体流量不同,物联网数据总是瞬态的,并由其生产者根据实际情况进行更新。因此,如果没有任何有效的对策,过时的副本将不可避免地被CCN路由器存储,然后分发给相关的消费者,从而降低缓存效率和用户体验。事实上,大多数相关策略很少考虑缓存内容的信息新鲜度,如何处理CCN中的瞬态物联网数据仍然是一个被忽视但需要进一步探索的关键问题。因此,在本文中,我们提出了一种高效的基于流行度的缓存一致性管理方案,旨在保证路径路由器返回的物联网数据的新鲜度,并避免同时引入沉重的信令成本。在现实世界的无恐慌和二叉树拓扑下进行了广泛的模拟,相应的结果证明了该方案在及时驱逐 CCN 网内缓存存储的过时物联网数据方面的效率。
更新日期:2022-03-31
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