A Data Mining Based Publish/Subscribe System over Structured Peer-to-Peer Networks - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing - page 14

5Conluion
In this paper, we proposed a data mining based publish/subscribe system (DMPSS).
In DMPSS, the data mining technology is used to find attributes that are usually
subscribed together, e.g. frequent itemset. Subscriptions and events are installed by
frequent itemsets contained in them. DMPSS has three advantages: 1) it can be ap-
plied on any overlay network easily; 2) it achieves even matching load distribution
on RPs; 3) it reduces the event publication cost by grouping subscriptions that don't
contain frequent itemsets onto a certain number of RPs. We evaluated the perfor-
mance of DMPSS by comparing it with Ferry and Eferry, and the results showed
that DMPSS realized even matching load distribution, especially when the load
balancing strategy was used. Moreover, DMPSS reduced the overhead for message
transmission and latency dramatically.
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