TY - GEN
T1 - Multipath Forwarding Strategies and SDN Control for Named Data Networking
AU - Alhowaidi, Mohammad
AU - Nadig, Deepak
AU - Ramamurthy, Byrav
AU - Bockelman, Brian
AU - Swanson, David
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation under Grant Numbers OAC-1541442 and CNS-1817105. This work was completed using the Holland Computing Center of the University of Nebraska, which receives support from the Nebraska Research Initiative.
Funding Information:
ACKNOWLEDGMENTS This material is based upon work supported by the National Science Foundation under Grant Numbers OAC-1541442 and CNS-1817105. This work was completed using the Holland Computing Center of the University of Nebraska, which receives support from the Nebraska Research Initiative.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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.
AB - 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.
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U2 - 10.1109/ANTS.2018.8710068
DO - 10.1109/ANTS.2018.8710068
M3 - Conference contribution
AN - SCOPUS:85066030611
T3 - International Symposium on Advanced Networks and Telecommunication Systems, ANTS
BT - 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2018
PB - IEEE Computer Society
T2 - 12th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2018
Y2 - 16 December 2018 through 19 December 2018
ER -