Title :
Publish/Subscribe Driven Matching Algorithm
Author :
Song, Min ; Zhang, Zhe ; Yin, Guisheng ; Wang, Hongbin ; Ni, Jun
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Abstract :
The characteristics of publish/subscribe technology are of asynchronism and loosely coupled. This phenomenon makes producers and consumers are de-communicated in temporal and spatial domains during processing. It requires develop a dynamic integration in today´s large-scale, distributed information system. This paper introduces a Semantic Integration Data Model (SIDM) for publish/subscribe systems, within which model subscription module is designed. The model contains a matching algorithm which combines both publishing-driven and subscription-driven matching algorithms. Our experiments show that this matching algorithm has high efficiency for matching.
Keywords :
data models; information systems; message passing; middleware; pattern matching; Semantic Integration Data Model; large scale distributed information system; model subscription module; publish-subscribe driven matching algorithm; publish-subscribe systems; publishing-driven matching algorithm; subscription-driven matching algorithm; Computer science; Data models; Information systems; Internet; Middleware; Prototypes; Space technology; Subscriptions; Writing; XML; Publish/subscribe; algorithm; information system; integration; matching;
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2009 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6754-9
DOI :
10.1109/ICICSE.2009.49