The many faces of publish/subscribe
ACM Computing Surveys (CSUR)
Random Structures & Algorithms
Bubblestorm: resilient, probabilistic, and exhaustive peer-to-peer search
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Simulation of scale-free networks
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Load Balancing Content-Based Publish/Subscribe Systems
ACM Transactions on Computer Systems (TOCS)
Gossiping for resource discovering: An analysis based on complex network theory
Future Generation Computer Systems
Resilience of dynamic overlays through local interactions
Proceedings of the 22nd international conference on World Wide Web companion
Computer Networks: The International Journal of Computer and Telecommunications Networking
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This paper analyzes the adoption of unstructured P2P overlay networks to build publish-subscribe systems. We consider a very simple distributed communication protocol, based on gossip and on the local knowledge each node has about subscriptions made by its neighbours. A mathematical analysis is provided to estimate the number of nodes receiving the event. These outcomes are compared to those obtained via simulation. Results show even when the amount of subscribers represents a very small (yet non-negligible) portion of network nodes, by tuning the gossip probability the event can percolate through the overlay.