A QoS-aware framework for resource configuration and reservation in ubiquitous computing environments

Wonjun Lee, Bikash Sabata

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this paper we present a new admission control algorithm that exploits the degradability property of applications to improve the performance of the system in pervasive networking environments. The algorithm is based on setting aside a portion of the resources as reserves and managing it intelligently so that the total utility of the system is maximized. We also applied our Soft-QoS framework to the admission controlling and resource scheduling for ubiquitous multimedia devices, such as PDA or VOD servers, where multimedia applications can generally tolerate certain variations on QoS parameters. It exploits the findings about human tolerance to degradation in quality of multimedia streams.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHyun-Kook Kahng
PublisherSpringer Verlag
Pages504-514
Number of pages11
ISBN (Electronic)3540408274, 9783540408277
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2662
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Admission Control
  • Pervasive and Ubiquitous Computing
  • Quality of Service

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'A QoS-aware framework for resource configuration and reservation in ubiquitous computing environments'. Together they form a unique fingerprint.

  • Cite this

    Lee, W., & Sabata, B. (2003). A QoS-aware framework for resource configuration and reservation in ubiquitous computing environments. In H-K. Kahng (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 504-514). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2662). Springer Verlag. https://doi.org/10.1007/978-3-540-45235-5_49