Multipath congestion control in content-centric networks
Multipath congestion control in content-centric networks
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DOI：
10.1109/infcomw.2013.6970718
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发表时间：
2013-04
期刊：
影响因子：
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通讯作者：
G. Carofiglio;Massimo Gallo;L. Muscariello;Michele Papali
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文献类型：
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作者：
G. Carofiglio;Massimo Gallo;L. Muscariello;Michele Papali
在大规模内容交付的压力下，互联网上的数据通信发生了重大变化。与TCP/IP的主机到主机传输模型相比，以内容为中心的网络（CCN）重新思考了围绕命名数据检索的互联网通信范式。内容检索是由用户请求驱动的、基于拉取的、点对多点的，并且与网络存储的可用性内在地耦合。通过利用CCN传输的关键特征，在本文中，我们首次提出了一种拥塞控制机制，实现了以内容为中心的网络上的高效多路径通信。我们的建议是基于一个远程自适应主动队列管理（RAAQM）的接收器，执行每路由控制的瓶颈队列沿着路径。我们分析了所提出的解决方案的稳定性，并通过随机和最优路由选择下的CCN分组级模拟来评估其性能。
Data communication across the Internet has significantly changed under the pressure of massive content delivery. Content-Centric Networking (CCN) rethinks Internet communication paradigm around named data retrieval, in contrast with the host-to-host transport model of TCP/IP. Content retrieval is natively pull-based driven by user requests, point-to-multipoint and intrinsically coupled with the availability of network storage. By leveraging the key features of CCN transport, in this paper we propose for the first time a congestion control mechanism realizing efficient multipath communication over content-centric networks. Our proposal is based on a Remote Adaptive Active Queue Management (RAAQM) at the receiver that performs a per-route control of bottleneck queues along the paths. We analyze the stability of the proposed solution and assess its performance by means of CCN packet-level simulations under random and optimal route selection.