Probabilistic QoS Modeling for Reliability/Timeliness Prediction in Distributed Content-Based Publish/Subscribe Systems Over Best-Effort Networks

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Executive Summary

Content-Based Publish/Subscribe (CBPS) paradigm is a powerful data dissemination paradigm that offers both scalability and flexibility. However, its nature of high expressiveness makes it difficult to analyze or predict the behavior of the system such as event delivery probability and end-to-end delivery delay, especially when deployed over unreliable, best-effort public networks. This paper proposes an analytical model that abstracts both expressiveness of content-based publish/subscribe systems, and uncertainty of underlying networks.

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