DocumentCode :
3085309
Title :
In Search of Simplicity: A Self-Organizing Group Communication Overlay
Author :
Ripeanu, Matei ; Iamnitchi, Adriana ; Foster, Ian ; Rogers, Anne
Author_Institution :
Univ. of British Columbia, Vancouver
fYear :
2007
fDate :
9-11 July 2007
Firstpage :
371
Lastpage :
374
Abstract :
Group communication primitives have broad utility as building blocks for distributed applications. The challenge is to create and maintain the distributed structures that support these primitives while accounting for volatile end-nodes and variable network characteristics. Most solutions proposed to date rely on complex algorithms or global information, thus limiting the scale of deployments and acceptance outside the academic realm. This article introduces a low-complexity, self-organizing solution for maintaining multicast trees, that we refer to as UMM (unstructured multi-source multicast). UMM uses traditional distributed systems techniques: layering, soft-state, and passive data collection to adapt to the dynamics of the physical network and maintain data dissemination trees. The result is a simple, adaptive system with lower overheads than more complex alternatives. We have implemented UMM and evaluated it on up to 1024-node emulated ModelNet networks and on the PlanetLab testbed.. Extensive experimental evaluations and quantitative comparisons with alternative solutions demonstrate VMM´s low overhead, efficient network usage, and ability to quickly adapt to network changes and to recover from failures.
Keywords :
groupware; multicast protocols; routing protocols; telecommunication network topology; trees (mathematics); UMM system; adaptive system; data dissemination trees; distributed applications; network routing; network topology; self-organizing group communication overlay; unstructured multisource multicast system; Adaptive systems; Collaborative work; Condition monitoring; Context; Data mining; Internet; Multicast algorithms; Network topology; Scalability; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems, 2007. SASO '07. First International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7695-2906-2
Type :
conf
DOI :
10.1109/SASO.2007.34
Filename :
4274934
Link To Document :
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