Hybrid caching and requests forwarding in information centric networking

K. Thar, Saeed Ullah, Rim Haw, Tuan LeAnh, Thant Zin Oo, C. Hong
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引用次数: 9

Abstract

Content Centric Networking (CCN) is one of the most promising network architectures of future Internet. In CCN, Content Router (CR) floods request in the network to find the content. This flooding may degrade the network performance by generating too much traffic. Also, in legacy CCN architecture, each CR caches all contents that pass through it. Thus, same contents are replicated in all CRs along the request path, which incurs faster cache replacement and degrades cache utilization consequently. Furthermore, caching and forwarding decisions are made by the CR only on the basis of its local knowledge, which may not be optimum decisions. In this paper we propose a hybrid caching, cache replacement and requests forwarding approaches to overcome the above drawbacks. In our proposal, there is a virtual controller inside the data center with high performance computational capacity. The controller makes all the forwarding and caching decisions and passes it to the physical CRs via virtualized core router. Physical CRs are grouped inside regions on the basis of their geographical location, in order to enhance users' QoE. We have intensively simulated the proposed mechanism in a chunk level simulator and the performance is compared with existing schemes. The simulation results show that the proposed mechanism outperforms the existing state-of-the-art schemes.
信息中心网络中的混合缓存和请求转发
内容中心网络(CCN)是未来互联网最具发展前景的网络体系结构之一。在CCN中,CR (Content Router)通过在网络中传播请求来查找内容。这种泛洪可能会产生过多的流量,从而降低网络性能。此外,在遗留的CCN体系结构中,每个CR缓存通过它的所有内容。因此,沿着请求路径在所有cr中复制相同的内容,这会导致更快的缓存替换,从而降低缓存利用率。此外,CR仅根据其局部知识做出缓存和转发决策,这可能不是最优决策。在本文中,我们提出了一种混合缓存、缓存替换和请求转发的方法来克服上述缺点。在我们的方案中,数据中心内部有一个具有高性能计算能力的虚拟控制器。控制器做出所有转发和缓存决策,并通过虚拟核心路由器将其传递给物理cr。为了提高用户的质量体验,我们将物理质量体验按地理位置分组在区域内。我们在块级模拟器中对所提出的机制进行了深入的仿真,并与现有方案进行了性能比较。仿真结果表明,所提出的机制优于现有的最先进的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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