Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A broadcast type Hierarchical Group communication protocol

A broadcast type Hierarchical Group communication protocol A large number of peer processes are cooperating by exchanging messages in autonomic, Peer-to-Peer (P2P) systems. In this paper, we discuss a Hierarchical Group (HG) protocol aimed at reducing communication and computation overheads for a large number of processes. A HG is composed of disjointed subgroups. Each subgroup has gateway processes which communicate with other subgroups. Even if messages are locally causally ordered in a subgroup, the messages may not be globally causally ordered in a group. We discuss how to globally causally order messages by using local synchronisation mechanisms of subgroups. In addition, we present an evaluation of the protocol. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Applied Systemic Studies Inderscience Publishers

A broadcast type Hierarchical Group communication protocol

Loading next page...
 
/lp/inderscience-publishers/a-broadcast-type-hierarchical-group-communication-protocol-iq92Zb4RTj

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1751-0589
eISSN
1751-0597
DOI
10.1504/IJASS.2010.031557
Publisher site
See Article on Publisher Site

Abstract

A large number of peer processes are cooperating by exchanging messages in autonomic, Peer-to-Peer (P2P) systems. In this paper, we discuss a Hierarchical Group (HG) protocol aimed at reducing communication and computation overheads for a large number of processes. A HG is composed of disjointed subgroups. Each subgroup has gateway processes which communicate with other subgroups. Even if messages are locally causally ordered in a subgroup, the messages may not be globally causally ordered in a group. We discuss how to globally causally order messages by using local synchronisation mechanisms of subgroups. In addition, we present an evaluation of the protocol.

Journal

International Journal of Applied Systemic StudiesInderscience Publishers

Published: Jan 1, 2010

There are no references for this article.