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Priority-based content processing with Q-routing in information-centric networking (ICN)

机译:信息中心网络(ICN)中具有Q路由的基于优先级的内容处理

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摘要

With exponential increase in the number of users and available data, service providers are facing hard times to satisfy and improve end user experience. Researchers have come up with the idea of exploiting increasing number of routers in a network, and it leads to the development of information-centric networking (ICN). Efficient usage of the in-network caches and content forwarding methodology are the key issues in an ICN architecture. ICN reduces average hop count and correspondingly average content download delay because the intra-domain routers in ICN have storage capacity and they can act as temporary content provider. In this paper, we address the content management issue in a cache with finite storage capability and propose an efficient content management policy that changes a router to a self-sustained cache. We propose a novel methodology to process content packets in the buffer of a cache and correspondingly reduce the propagation delay through a cache. We simulate our proposed algorithm over real-life network environment and evaluate the performance of different user experience metrics, e.g. average latency, throughput, goodput, and link load. Simulation results suggest that our proposed model outperforms the existing state-of-the-art on-path caching strategies.
机译:随着用户数量和可用数据的呈指数增长,服务提供商面临着艰难的时机,难以满足和改善最终用户的体验。研究人员提出了利用网络中越来越多的路由器的想法,这导致了以信息为中心的网络(ICN)的发展。网络内缓存的有效使用和内容转发方法是ICN体系结构中的关键问题。由于ICN中的域内路由器具有存储容量,并且它们可以充当临时内容提供者,因此ICN减少了平均跳数和相应的平均内容下载延迟。在本文中,我们解决了具有有限存储能力的缓存中的内容管理问题,并提出了一种有效的内容管理策略,该策略将路由器更改为自持缓存。我们提出了一种新颖的方法来处理缓存中的内容包,并相应地减少通过缓存的传播延迟。我们在现实生活的网络环境中模拟我们提出的算法,并评估不同用户体验指标的性能,例如平均延迟,吞吐量,吞吐量和链接负载。仿真结果表明,我们提出的模型优于现有的最新路径缓存策略。

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