Paper Info
Title
Centaur: A evolutionary design of hybrid NDN/IP transport architecture for streaming application
Abstract
Named Data Networking (NDN), a clean-slate data oriented Internet architecture targeting on replacing IP, brings many potential benefits for content distribution. Real deployment of NDN is crucial to verify this new architecture and promote academic research, but work in this field is at an early stage. Due to the fundamental design paradigm difference between NDN and IP, Deploying NDN as IP overlay causes high overhead and inefficient transmission, typically in streaming applications. Aiming at achieving efficient NDN streaming distribution, this paper proposes a transitional architecture of NDN/IP hybrid network dubbed Centaur, which embodies both NDN's smartness, scalability and IP's transmission efficiency and deployment feasibility. In Centaur, the upper NDN module acts as the smart head while the lower IP module functions as the powerful feet. The head is intelligent in content retrieval and self-control, while the IP feet are able to transport large amount of media data faster than that if NDN directly overlaying on IP. To evaluate the performance of our proposal, we implement a real streaming prototype in ndnSIM and compare it with both NDN-Hippo and P2P under various experiment scenarios. The result shows that Centaur can achieve better load balance with lower overhead, which is close to the performance that ideal NDN can achieve. All of these validate that our proposal is a promising choice for the incremental and compatible deployment of NDN. © 2016 IEEE.
Year
DOI
Venue
2016
10.1109/UEMCON.2016.7777918
2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016
Field
DocType
Citations 
Software deployment,Design paradigm,Data transmission,Load balancing (computing),Computer science,Computer network,Overlay,The Internet,Scalability,Routing protocol
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Xiang Zhang119534.67
Gong Lirui200.34
Xun Yunbo300.34
Piao Xuewei411.74
Lei Kai515738.17