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Matching events in a content-based subscription system
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SIFT: a tool for wide-area information dissemination
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
Corona: a high performance publish-subscribe system for the world wide web
NSDI'06 Proceedings of the 3rd conference on Networked Systems Design & Implementation - Volume 3
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GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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CacheCast: Eliminating Redundant Link Traffic for Single Source Multiple Destination Transfers
ICDCS '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems
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Proceedings of the Re-Architecting the Internet Workshop
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Proceedings of the ACM SIGCOMM workshop on Information-centric networking
A reality check for content centric networking
Proceedings of the ACM SIGCOMM workshop on Information-centric networking
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AINTEC '11 Proceedings of the 7th Asian Internet Engineering Conference
Clustering in peer-to-peer file sharing workloads
IPTPS'04 Proceedings of the Third international conference on Peer-to-Peer Systems
Cache "less for more" in information-centric networks
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part I
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The publish/subscribe communication paradigm has become an important architectural style for designing distributed systems and has recently been considered one of the most promising future network architectures that solves many challenges of content delivery in the current Internet. This work is concerned with scaling decentralized content-based publish/subscribe (CBPS) networks for large-scale content distribution. A fundamental step for CBPS networks to reach the large-scale is to move from the current exhaustive filtering service model, where a subscription selects every relevant publication, to a service model capturing the quantitative and qualitative heterogeneity of information consumers requirements. Moreover, the proposed work aims at leveraging caching for increasing the communication efficiency of CBPS operating at large-scale characterized by widely spread information consumers with heterogeneous requirements, large number of publications and scarcity of end-to-end bandwidth. We propose and design a service model for addressing the consumers' requirements for content-based information retrieval and describe the relevant protocols necessary to implement such a service. We evaluate the proposed approach, by using realistic workload scenarios and comparing different content and interest forwarding strategies as well as caching policies in terms of resource efficiency and user perceived QoS metrics.