Coexist: Integrating Content Oriented Publish/Subscribe Systems with IP

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​Coexist: ​Integrating Content Oriented Publish/Subscribe Systems with IP​
Chen, J. ; Arumaithurai, M. ; Fu, X.   & Ramakrishnan, K.​ (2012)
pp. 223​-234. ​Symposium on Architectures for Networking and Communications Systems​, Austin, TX, USA, USA.
IEEE. DOI: https://doi.org/10.1145/2396556.2396601 

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Authors
Chen, Jiachen ; Arumaithurai, Mayutan ; Fu, Xiaoming ; Ramakrishnan, K.K.
Abstract
Content-Centric Networking (CCN) seeks to meet the content-centric needs of users. In this paper, we propose hybrid-COPSS, a hybrid content-centric architecture. We build on the previously proposed Content-Oriented Publish/Subscribe System (COPSS) to address incremental deployment of CCN and elegantly combine the functionality of content-centric networks with the efficiency of IP-based forwarding including IP multicast. Furthermore, we propose an approach for incremental deployment of caches in generic query/response CCN environments that optimizes latency and network load. To overcome the lack of inter-domain IP multicast, hybrid-COPSS uses COPSS multicast with shortcuts in the CCN overlay. Our hybrid approach would also be applicable to the Named Data Networking framework. To demonstrate the benefits of hybrid-COPSS, we use a multiplayer online gaming trace in our lab test-bed and microbenchmark the forwarding performance and queuing for both COPSS and hybrid-COPSS. A large scale trace-driven simulation (parameterized by the microbenchmark) on a representative ISP topology was used to evaluate the response latency and aggregate network load. Our results show that hybrid-COPSS performs better in terms of response latency in a single domain. In a multi-domain environment, hybrid-COPSS significantly reduces update latency and inter-domain traffic.
Issue Date
2012
Publisher
IEEE
Conference
Symposium on Architectures for Networking and Communications Systems
ISBN
978-1-4503-1685-9
Conference Place
Austin, TX, USA, USA
Event start
2012-10-29
Event end
2012-10-30
Language
English

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