Multipath Forwarding Strategies and SDN Control for Named Data Networking
Multipath Forwarding Strategies and SDN Control for Named Data Networking
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DOI：
10.1109/ants.2018.8710068
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发表时间：
2018-12
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通讯作者：
M. Alhowaidi;D. Anantha;B. Ramamurthy;B. Bockelman;D. Swanson
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作者：
M. Alhowaidi;D. Anantha;B. Ramamurthy;B. Bockelman;D. Swanson
命名数据网络（NDN）提出了一种以内容为中心而不是以主机为中心的数据检索方法。使用Interest包从内容存储（CS）检索具有唯一和不可变名称的数据包。当前的NDN架构依赖于依赖于路径缓存的转发策略，因此效率低下。这种方法忽略了网络中相邻离路路由器上可用的缓存内容，从而降低了数据传输效率。在本文中，我们提出了一种新的分布式多路径（D-MP）转发策略并对NDN兴趣转发管道进行了改进。此外，我们为多路径转发策略（S-MP）开发了一个集中的sdn启用控制，该策略通过使用NDN网络状态的全局知识有效地分配兴趣。我们在跨六个地理位置分离的站点的大规模广域网测试台上对我们提出的方法进行了广泛的评估。我们的解决方案明显优于现有的NDN转发策略。我们表明，与默认的NDN实现相比，D-MP策略在没有网络内缓存的情况下获得了10.4到12.5倍的性能提升，在有网络内缓存的情况下获得了12.2到18.4倍的性能提升。此外，对于S-MP案例，我们演示了使用和不使用网络内缓存分别将性能提高10.6倍到12.6倍和12.9倍到18.5倍。
Named Data Networking (NDN) proposes a contentcentric rather than a host-centric approach to data retrieval. Data packets with unique and immutable names are retrieved from a content store (CS) using Interest packets. The current NDN architecture relies on forwarding strategies that are dependent upon on-path caching and is therefore inefficient. This approach reduces data transfer efficiency by ignoring the cached content available on the adjacent off-path routers in the network. In this paper, we propose a novel distributed multipath (D-MP) forwarding strategy and enhancements to the NDN Interest forwarding pipeline. Furthermore, we develop a centralized SDNenabled control for the multipath forwarding strategy (S-MP) that distributes Interests efficiently by using the global knowledge of the NDN network states. We perform extensive evaluations of our proposed methods on an at-scale WAN testbed spanning six geographically separated sites. Our solutions outperform the existing NDN forwarding strategies by a significant margin. We show that the D-MP strategy results in performance gains ranging between 10.4x to 12.5x over the default NDN implementation without in-network caching, and gains of 12.2x to 18.4x with in-network caching. In addition, for the S-MP case, we demonstrate a performance improvement of 10.6x to 12.6x, and 12.9x to 18.5x, for with- and without in-network caching respectively.