QoS and contention-aware multi-resource reservation

D. Xu, K. Nahrstedt, A. Viswanathan, D. Wichadakul

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Presents a QoS and contention-aware multi-resource reservation algorithm to provide end-to-end QoS guarantees for distributed and component-based services. We study a reservation-enabled environment, where each type of resource can be reserved. However, the goals of: (1) achieving the best end-to-end QoS for each client, and (2) increasing the overall success rate of resource reservations for different service requests, are in conflict with each other. Our algorithm provides a solution to alleviate this conflict. For each service request, the algorithm computes an end-to-end multi-resource reservation plan which (1) achieves the highest level of end-to-end QoS under the constraint of current resource availability, and (2) tends to incur low bottleneck resource contention among all feasible reservation plans for this service request. Our initial simulation results show the excellent performance of this algorithm.

Original languageEnglish (US)
Title of host publicationProceedings - The 9th International Symposium on High-Performance Distributed Computing, HPDC 2000
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3-10
Number of pages8
ISBN (Electronic)0769507832
DOIs
StatePublished - Jan 1 2000
Event9th IEEE International Symposium on High-Performance Distributed Computing, HPDC 2000 - Pittsburgh, United States
Duration: Aug 1 2000Aug 4 2000

Publication series

NameProceedings of the IEEE International Symposium on High Performance Distributed Computing
Volume2000-January
ISSN (Print)1082-8907

Other

Other9th IEEE International Symposium on High-Performance Distributed Computing, HPDC 2000
CountryUnited States
CityPittsburgh
Period8/1/008/4/00

Keywords

  • Availability
  • Bandwidth
  • Computer science
  • Contracts
  • Engineering profession
  • NASA
  • Neck
  • Scheduling algorithm

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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  • Cite this

    Xu, D., Nahrstedt, K., Viswanathan, A., & Wichadakul, D. (2000). QoS and contention-aware multi-resource reservation. In Proceedings - The 9th International Symposium on High-Performance Distributed Computing, HPDC 2000 (pp. 3-10). [868629] (Proceedings of the IEEE International Symposium on High Performance Distributed Computing; Vol. 2000-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPDC.2000.868629