TY - GEN
T1 - Improving the freshness of NDN forwarding states
AU - Cao, Jianxun
AU - Pei, Dan
AU - Wu, Zhelun
AU - Zhang, Xiaoping
AU - Zhang, Beichuan
AU - Wang, Lan
AU - Zhao, Youjian
N1 - Publisher Copyright:
© 2016 IFIP.
PY - 2016/6/21
Y1 - 2016/6/21
N2 - Named Data Networking (NDN) is a new Internet architecture that replaces today's focus on where-addresses and hosts-with what-the content that users and applications care about. A unique advantage of NDN over IP is the adaptive forwarding plane, which, by observing the performance of Interest/Data exchange, can dynamically select the best performing forwarding path, detect and recover from failures, load-balance across multiple paths, and mitigate attacks such as prefix hijacking and DDoS. A key component of adaptive forwarding is interface ranking, namely when and how to update the interfaces' metrics and rank them. As we will point out in this paper, however, the existing interface ranking scheme suffers from the problem of outdated forwarding states. Using two concrete problems, SRTT slow-convergence and probing oscillation, we illustrate how outdated forwarding states can impact the forwarding performance. We propose new forwarding strategies with Adaptive SRTT Update (ASU) and Proactive Probing to achieve up-to-date forwarding states, and evaluate how these strategies are able to address the two problems. Both theoretical analysis and simulation results show that the new strategies can reduce SRTT convergence time by 37.9% and the loss rate by 75% to 94.75%, compared to the existing interface ranking strategies.
AB - Named Data Networking (NDN) is a new Internet architecture that replaces today's focus on where-addresses and hosts-with what-the content that users and applications care about. A unique advantage of NDN over IP is the adaptive forwarding plane, which, by observing the performance of Interest/Data exchange, can dynamically select the best performing forwarding path, detect and recover from failures, load-balance across multiple paths, and mitigate attacks such as prefix hijacking and DDoS. A key component of adaptive forwarding is interface ranking, namely when and how to update the interfaces' metrics and rank them. As we will point out in this paper, however, the existing interface ranking scheme suffers from the problem of outdated forwarding states. Using two concrete problems, SRTT slow-convergence and probing oscillation, we illustrate how outdated forwarding states can impact the forwarding performance. We propose new forwarding strategies with Adaptive SRTT Update (ASU) and Proactive Probing to achieve up-to-date forwarding states, and evaluate how these strategies are able to address the two problems. Both theoretical analysis and simulation results show that the new strategies can reduce SRTT convergence time by 37.9% and the loss rate by 75% to 94.75%, compared to the existing interface ranking strategies.
UR - http://www.scopus.com/inward/record.url?scp=84982245403&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84982245403&partnerID=8YFLogxK
U2 - 10.1109/IFIPNetworking.2016.7497213
DO - 10.1109/IFIPNetworking.2016.7497213
M3 - Conference contribution
AN - SCOPUS:84982245403
T3 - 2016 IFIP Networking Conference (IFIP Networking) and Workshops, IFIP Networking 2016
SP - 189
EP - 197
BT - 2016 IFIP Networking Conference (IFIP Networking) and Workshops, IFIP Networking 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IFIP Networking Conference (IFIP Networking) and Workshops, IFIP Networking 2016
Y2 - 17 May 2016 through 19 May 2016
ER -