Multi-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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External Research Organisations

  • RWTH Aachen University
  • Forschungszentrum Jülich
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Details

Original languageEnglish
Title of host publicationProceedings - CCGrid 2003
Subtitle of host publication3rd IEEE/ACM International Symposium on Cluster Computing and the Grid
Pages550-557
Number of pages8
Publication statusPublished - 2003
Externally publishedYes
Event3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003 - Tokyo, Japan
Duration: 12 May 200315 May 2003

Publication series

NameProceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid

Abstract

Grid computing requires network services beyond what is currently provided by the Best-Effort Internet. Among the different approaches towards network Quality of Service, aggregate scheduling, which maps micro-flows to a small number of different service classes, offers sufficient scalability up to the size of the Internet. The Differentiated Services architecture of the Internet Engineering Task Force is such an approach. Recently further Best-Effort like services have been proposed that are based on aggregate scheduling, like the less than Best-Effort Scavenger Service and the Alternative Best-Effort Service. In this paper we introduce the existing aggregate based approaches to Quality of Service. We take a heterogeneous mix of Transmission Control Protocol and User Datagram Protocol flows into account and complement services by adding transport protocol specific elements, if appropriate. In particular we show multi-class applications that are designed to apply a Guaranteed Rate Service and a Scavenger Service in parallel. Doing so we can show a performance gain and achieve a more economical use of the available resources without impacting responsive Best-Effort flows.

ASJC Scopus subject areas

Cite this

Multi-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service. / Fidler, Markus; Sander, Volker.
Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid. 2003. p. 550-557 1199413 (Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Fidler, M & Sander, V 2003, Multi-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service. in Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid., 1199413, Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, pp. 550-557, 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003, Tokyo, Japan, 12 May 2003. https://doi.org/10.1109/CCGRID.2003.1199413
Fidler, M., & Sander, V. (2003). Multi-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service. In Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid (pp. 550-557). Article 1199413 (Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid). https://doi.org/10.1109/CCGRID.2003.1199413
Fidler M, Sander V. Multi-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service. In Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid. 2003. p. 550-557. 1199413. (Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid). doi: 10.1109/CCGRID.2003.1199413
Fidler, Markus ; Sander, Volker. / Multi-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service. Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid. 2003. pp. 550-557 (Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid).
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