DocumentCode :
226884
Title :
A passive monitoring model for P2P network based on 2D Bloom Filter data verification algorithm
Author :
Shengbing Zhang
Author_Institution :
Sch. of Comput. Sci., Northwest Polytech. Univ., Xi´an, China
fYear :
2014
fDate :
24-26 Sept. 2014
Firstpage :
308
Lastpage :
312
Abstract :
P2P network monitoring acquires network information, analyzes the network topology characteristics and variation regularity to control the network mainly by actively or passively monitoring method. The passive monitoring model for P2P specific information was proposed in this paper, which applied the data verification technology to acquire the audience information in real time, improved the data verification algorithm, and discussed the improved algorithm performance. As the test result indicates, this improved algorithm has the advantages of high efficiency performance, less memory requirement, and low misjudgment rate, which meet the requirement of passive monitoring model to data verification algorithm.
Keywords :
data handling; data structures; peer-to-peer computing; 2D bloom filter data verification algorithm; P2P network monitoring; passive monitoring model; Algorithm design and analysis; Arrays; Data models; Filtering algorithms; Information filters; Monitoring; Data verification algorithm; Information monitoring model; P2P network; Passive monitoring model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies (ISCIT), 2014 14th International Symposium on
Conference_Location :
Incheon
Type :
conf
DOI :
10.1109/ISCIT.2014.7011922
Filename :
7011922
Link To Document :
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