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Scalability in adaptive multi-metric overlays
Duke.ORCID iD: 0000-0002-1256-1070
2004 (English)In: Proceedings of the 2nd IEEE International Conference on Distributed Computing Systems, IEEE conference proceedings, 2004, -121 p.Conference paper, Published paper (Refereed)
Abstract [en]

Increasing application requirements have placed heavy emphasis on building overlay networks to efficiently deliver data to multiple receivers. A key performance challenge is simultaneously achieving adaptivity to changing network conditions and scalability to large numbers of users. In addition, most current algorithms focus on a single performance metric, such as delay or bandwidth, particular to individual application requirements. We introduce a two-fold approach for creating robust, high-performance overlays called adaptive multimetric overlays (AMMO). First, AMMO uses an adaptive, highly-parallel, and metric-independent protocol, TreeMaint, to build and maintain overlay trees. Second, AMMO provides a mechanism for comparing overlay edges along specified application performance goals to guide TreeMaint transformations. We have used AMMO to implement and evaluate a single-metric (bandwidth-optimized) tree similar to Overcast and a two-metric (delay-constrained, cost-optimized) overlay

Place, publisher, year, edition, pages
IEEE conference proceedings, 2004. -121 p.
Keyword [en]
bandwidth allocation; computer networks; multicast communication; optimisation; protocols; tree searching
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-147145DOI: 10.1109/ICDCS.2004.1281574ISBN: 0-7695-2086-3 (print)OAI: oai:DiVA.org:kth-147145DiVA: diva2:727739
Conference
The 2nd IEEE International Conference on Distributed Computing Systems,2004
Note

Dept. of Comput. Sci., Duke Univ., Durham, NC, USA

QC 20140704

Available from: 2014-06-23 Created: 2014-06-23 Last updated: 2014-07-04Bibliographically approved

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fulltext(301 kB)81 downloads
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Kostic, Dejan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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