We present an evaluation of advanced routing algorithms for content-based publish/subscribe systems that focuses on the inherent characteristics of routing algorithms (routing table sizes and filter forwarding overhead) instead of system-specific parameters (CPU load etc.). The evaluation is based on a working prototype instead of simulations and compares several routing algorithms to each other Moreover; the effects of locality among the interests of the consumers are investigated. The results offer new insights into the behavior of content-based routing algorithms: Firstly, advanced routing algorithms can be considered mandatory in large-scale publish/subscribe systems. Secondly, the use of advertisements considerably improves the scalability. Thirdly, advanced routing algorithms operate efficiently in more dynamic environments than was previously thought. Finally; the good behavior of the algorithms even improves if the interests of the consumers are not evenly distributed, which can be expected in practice.
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