NDLI: Linear Optimal Hierarchical Multicast Tree Algorithms for P2P Database

Content Provider	IEEE Xplore Digital Library
Author	Qingfeng Fan Magoules, F. Qiongli Wu Yanxiang He
Copyright Year	2008
Description	Author affiliation: Sch. of Comput., Wuhan Univ., Wuhan (Yanxiang He) \|\| Ecole Centrale Paris, Appl. Math. & Syst. Lab., Paris (Qingfeng Fan; Magoules, F.; Qiongli Wu)
Abstract	For attained high data multicast efficiency for the P2P database system, the paper proposes a set of novel multicast algorithms. In contrast with the current algorithms, the new algorithms firstly divide the group members into different clusters in terms of static delay distance, then find the central node in the clusters, calculate the space weight of every node, search the data quantity of every node, and find the maximal data quantity node. After obtaining the spatial weight vector and the data quantity weight vector, the algorithms try to find a new vector composed by linear combination of the spatial and data weight vectors. Then the algorithms build binary simple equations between them, seek linear modulus and generate a least weight path tree, namely multicast tree. The multicast tree is then constructed by using the new algorithms. Extended simulation results indicate that these new algorithms are more suitable for P2P Database compared with other well-known existing multicast solutions.
Starting Page	242
Ending Page	249
File Size	321960
Page Count	8
File Format	PDF
ISBN	9780769534572
DOI	10.1109/MSN.2008.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Routing Vectors Sensor systems Mathematics Delay Equations multicast Linear Optimal Multicast algorithms Databases P2P database Clustering algorithms Mobile computing
Content Type	Text
Resource Type	Article

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