DocumentCode
2154947
Title
A flow-driven fast forwarding architecture for content centric networks
Author
Azgin, Aytac ; Ravindran, Ravishankar ; Wang, Guoqiang
Author_Institution
Huawei Research Center, Santa Clara, CA, USA
fYear
2015
fDate
8-12 June 2015
Firstpage
5552
Lastpage
5558
Abstract
Content-centric Networking (CCN) promises significant advantages over the current Internet architecture by replacing its host-centric design with a content-centric one, and enabling innetwork caching and name-based forwarding. However, despite its advantages, wire-speed forwarding in CCN remains a challenge, as CCN uses stateful forwarding and requires lookups on packets carrying hierarchically structured and variable-length content names. As a result, storage and computing requirements to support name-based forwarding in CCN typically determines the forwarding capacity. In this paper, to address the forwarding scalability concerns in CCN, we propose an overlay forwarding architecture that utilizes flow-driven adaptive forwarding and tradeoffs between flexibility and scalability. The proposed architecture exploits the correlations in user traffic to create active flow states in content routers to bypass the default CCN forwarding for future requests. We present an indepth study of the proposed architecture and provide demonstrative results on its performance proving its scalability and effectiveness.
Keywords
Computer architecture; Data mining; Indexes; Next generation networking; Routing; Scalability; System-on-chip;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2015 IEEE International Conference on
Conference_Location
London, United Kingdom
Type
conf
DOI
10.1109/ICC.2015.7249207
Filename
7249207
Link To Document