A quality of service architecture that combines resource reservation and application adaptation

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Reservation and adaptation are two well-known and effective techniques for enhancing the end-to-end performance of network applications. However, both techniques also have limitations, particularly when dealing with high-bandwidth, dynamic flows: fixed-capability reservations tend to be wasteful of resources and hinder graceful degradation in the face of congestion, while adaptive techniques fail when congestion becomes excessive. We propose an approach to quality of service (QoS) that overcomes these difficulties by combining features of reservations and adaptation. In this approach, a combination of online control interfaces for resource management, a sensor permitting online monitoring, and decision procedures embedded in resources enable a ... continued below

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8 pages

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Foster, I.; Roy, A. & Sander, V. April 21, 2000.

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Description

Reservation and adaptation are two well-known and effective techniques for enhancing the end-to-end performance of network applications. However, both techniques also have limitations, particularly when dealing with high-bandwidth, dynamic flows: fixed-capability reservations tend to be wasteful of resources and hinder graceful degradation in the face of congestion, while adaptive techniques fail when congestion becomes excessive. We propose an approach to quality of service (QoS) that overcomes these difficulties by combining features of reservations and adaptation. In this approach, a combination of online control interfaces for resource management, a sensor permitting online monitoring, and decision procedures embedded in resources enable a rich variety of dynamic feedback interactions between applications and resources. We describe a QoS architecture, GARA, that has been extended to support these mechanisms, and use three examples of application-level adaptive strategies to show how this framework can permit applications to adapt both their resource requests and behavior in response to online sensor information.

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8 pages

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  • International Workshop on Quality of Service, Pittsburgh, PA (US), 06/05/2000--06/07/2000; Other Information: PBD: 21 Apr 2000

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  • Report No.: ANL/MCS/CP-101715
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 754503
  • Archival Resource Key: ark:/67531/metadc703320

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • April 21, 2000

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  • Sept. 12, 2015, 6:31 a.m.

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  • March 30, 2016, 6:07 p.m.

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Foster, I.; Roy, A. & Sander, V. A quality of service architecture that combines resource reservation and application adaptation, article, April 21, 2000; Illinois. (digital.library.unt.edu/ark:/67531/metadc703320/: accessed January 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.