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Author Banno, R. ♦ Takeuchi, S. ♦ Takemoto, M. ♦ Kawano, T. ♦ Kambayashi, T. ♦ Matsuo, M.
Sponsorship IEEE Comput. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Overlay networks ♦ Data models ♦ Internet ♦ Vectors ♦ Scalability ♦ Publishing ♦ Sensors ♦ IoT ♦ distributed pub/sub ♦ overlay networks ♦ Skip Graph ♦ relay-free ♦ exhaust data
Abstract Distributed pub/sub messaging has become indispensable for event-driven systems. There are methods for achieving high scalability regarding topic-based pub/sub by using structured overlay networks. However, these methods waste network resources concerning "exhaust data," which have low or no value most of the time. There are at least two problems: each publisher node continues to forward data to a relay node even if there are no subscribers, and multicast trees are constructed which are excessively large for low value data, namely having a small number of subscribers. In this paper, we formulate the requirements of overlay networks by defining a property called "strong relay-free" as an expansion of relay-free property, and propose a practical method satisfying the property by using Skip Graph. The proposed method involves publishers and subscribers composing connected sub graphs to enable detecting the absence of subscribers and autonomously adjusting the tree size. Through simulation experiments, we confirmed that the proposed method can suspend publishing adaptively, and shorten the path length on multicast trees by more than 75% under an experimental condition with 100,000 nodes. The proposed method is competent for decentralized event-driven systems with encouraging the locally produced data to be consumed locally.
Description Author affiliation: NTT Network Innovation Labs., NTT Corp., Tokyo, Japan (Banno, R.; Takeuchi, S.; Takemoto, M.; Kawano, T.; Kambayashi, T.; Matsuo, M.)
ISBN 9781479935758
ISSN 07303157
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-07-21
Publisher Place Sweden
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.18 MB
Page Count 10
Starting Page 311
Ending Page 320

Source: IEEE Xplore Digital Library