ISCAS OpenIR
Predicate priority based event matching algorithm in publish/subscribe system
Xu, Menglu (1); Lv, Pin (1); Wang, Haibo (1); Xu, Menglu
2013
Conference Name4th IEEE International Conference on Networking and Distributed Computing, ICNDC 2013
Pages146-150
Conference DateDecember 21, 2013 - December 24, 2013
Conference PlaceHong Kong, China
Indexed TypeEI
Publish PlaceIEEE Computer Society
ISSN21654999
ISBN9781479930463
Department(1) Science and Technology on Integrated Information System Laboratory, Institute of Software Chinese Academy of Sciences, UCAS, Beijing, China
English AbstractThe large distributed interactive simulation system which based on the publish/subscribe model has considerable data, it needs to disseminate accurate data to the interested users quickly, so improving the match efficient is a very important method to solve this problem. Based on the study and comparison of current matching algorithm, we have proposed a predicate priority based event matching algorithm(hereinafter referred to as PPEM). Performance analysis and detailed experimentations are carried out to verify the effectiveness of PPEM. When the number of subscriptions is 10000, the average time of matching one event is only 22.6ms and when we change the type of data distribution or increase the number of event attribute, the average matching time of PPEM is almost unchangeable comparing with bucket and multi-dimension algorithms. All the results show that PPEM achieves high matching efficiency and also has good scalability and robustness.; The large distributed interactive simulation system which based on the publish/subscribe model has considerable data, it needs to disseminate accurate data to the interested users quickly, so improving the match efficient is a very important method to solve this problem. Based on the study and comparison of current matching algorithm, we have proposed a predicate priority based event matching algorithm(hereinafter referred to as PPEM). Performance analysis and detailed experimentations are carried out to verify the effectiveness of PPEM. When the number of subscriptions is 10000, the average time of matching one event is only 22.6ms and when we change the type of data distribution or increase the number of event attribute, the average matching time of PPEM is almost unchangeable comparing with bucket and multi-dimension algorithms. All the results show that PPEM achieves high matching efficiency and also has good scalability and robustness.
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/16673
Collection中国科学院软件研究所
Corresponding AuthorXu, Menglu
Recommended Citation
GB/T 7714
Xu, Menglu ,Lv, Pin ,Wang, Haibo ,et al. Predicate priority based event matching algorithm in publish/subscribe system[C]. IEEE Computer Society,2013:146-150.
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