DocumentCode :
2732337
Title :
Substring Matching in P2P Publish/Subscribe Data Management Networks
Author :
Aekaterinidis, I. ; Triantafillou, P.
Author_Institution :
Dept. Comput. Eng. & Informatics, Patras Univ., Greece
fYear :
2007
fDate :
15-20 April 2007
Firstpage :
1390
Lastpage :
1394
Abstract :
The content-based publish/subscribe (pub/sub) paradigm for system design is becoming increasingly popular, offering unique benefits for a large number of data-intensive applications. Coupled with the peer-to-peer technology, it can serve as a central building block for such applications deployed over a large-scale network infrastructure. A key problem toward the creation of large-scale content-based pub/sub infrastructures relates to dealing efficiently with continuous queries (subscriptions) with rich predicates on string attributes; in this work we study the problem of efficiently and accurately matching substring queries to incoming events.
Keywords :
middleware; peer-to-peer computing; query processing; string matching; P2P publish-subscribe data management networks; content-based publish-subscribe; data-intensive applications; large-scale network infrastructure; peer-to-peer technology; substring query matching; Application software; Computer network management; Computer networks; Data structures; Informatics; Intrusion detection; Large-scale systems; Routing; Subscriptions; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0802-4
Type :
conf
DOI :
10.1109/ICDE.2007.369019
Filename :
4221809
Link To Document :
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