Due to the popularity of network applications, such as multimedia, online shopping, Internet of Things (IoT), and 5G, the contents cached in the routers are frequently replaced in Content-Centric Networking (CCN). Generally, cache miss causes numerous propagated packets to get the required content that deteriorates network congestion and delay the response time of consumers. Many caching strategies and routing policies were proposed to solve the problem. This paper presents an alternative solution by designing a query-based routing table update mechanism to increase the accuracy of routing tables. By adding an additional query content in interest packets, our approach real-time explores the cached content in routers and updated the routing table accordingly. This paper uses a general network simulator, ndnSIM, to compare basic CCN and our approach. The results show that our approach improves the response time of consumers and network congestion and is compatible with general forwarding strategies.
翻译:由于多媒体、在线购物、物联网和5G等网络应用程序的普及性,路由器中隐藏的内容经常在内容中心网络中被替换。一般而言,缓存缺失导致大量传播的包获得所需内容,从而恶化网络拥堵,延误消费者的反应时间。提出了许多缓存战略和路由政策来解决这个问题。本文件通过设计一个基于查询的路线更新机制来提高路由表的准确性,提出了一个替代解决方案。通过在利息包中添加额外的查询内容,我们的方法实时探索路由器中的缓存内容并相应更新路由表。本文使用通用网络模拟器(ndSIM)来比较基本的网络阻塞和我们的方法。结果显示,我们的方法改善了消费者和网络拥堵的应对时间,并与一般的转发战略相匹配。