Kumar Sumit, Tiwari Rajeev, Hong Wei-Chiang
Department of Systemics, School of Computer Science, University of Petroleum and Energy Studies, Bidholi, via Prem Nagar, Dehradun 248007, India.
Department of Systemics, University of Petroleum and Energy Studies, Bidholi, via Prem Nagar, Dehradun 248007, India.
Sensors (Basel). 2021 Oct 29;21(21):7204. doi: 10.3390/s21217204.
Content-Centric Networking (CCN) has emerged as a potential Internet architecture that supports name-based content retrieval mechanism in contrast to the current host location-oriented IP architecture. The in-network caching capability of CCN ensures higher content availability, lesser network delay, and leads to server load reduction. It was observed that caching the contents on each intermediate node does not use the network resources efficiently. Hence, efficient content caching decisions are crucial to improve the Quality-of-Service (QoS) for the end-user devices and improved network performance. Towards this, a novel content caching scheme is proposed in this paper. The proposed scheme first clusters the network nodes based on the hop count and bandwidth parameters to reduce content redundancy and caching operations. Then, the scheme takes content placement decisions using the cluster information, content popularity, and the hop count parameters, where the caching probability improves as the content traversed toward the requester. Hence, using the proposed heuristics, the popular contents are placed near the edges of the network to achieve a high cache hit ratio. Once the cache becomes full, the scheme implements Least-Frequently-Used (LFU) replacement scheme to substitute the least accessed content in the network routers. Extensive simulations are conducted and the performance of the proposed scheme is investigated under different network parameters that demonstrate the superiority of the proposed strategy the peer competing strategies.
以内容为中心的网络（CCN）已成为一种潜在的互联网架构，与当前面向主机位置的IP架构相比，它支持基于名称的内容检索机制。CCN的网络内缓存功能可确保更高的内容可用性、更低的网络延迟，并能降低服务器负载。据观察，在每个中间节点缓存内容并不能有效地利用网络资源。因此，高效的内容缓存决策对于提高终端用户设备的服务质量（QoS）和改善网络性能至关重要。为此，本文提出了一种新颖的内容缓存方案。该方案首先根据跳数和带宽参数对网络节点进行聚类，以减少内容冗余和缓存操作。然后，该方案利用聚类信息、内容流行度和跳数参数做出内容放置决策，其中缓存概率随着内容向请求者传输而提高。因此，使用所提出的启发式方法，将流行内容放置在网络边缘附近，以实现高缓存命中率。一旦缓存已满，该方案将实施最少使用（LFU）替换方案，以替换网络路由器中访问最少的内容。进行了广泛的模拟，并在不同网络参数下研究了所提方案的性能，结果表明了所提策略相对于同类竞争策略的优越性。
