Energy-aware QoS adjustment of multimedia tasks with uncertain execution time

Wan Yeon Lee, Heejo Lee, Hyogon Kim

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

2 Citations (Scopus)

Abstract

In order to make the best use of available energy budget, we propose a QoS adjustment method which maximizes the total QoS-provisioning of multimedia tasks with uncertain execution time. This method utilizes the probability distribution of task's execution time to determine an instant QoS level. Our experiments show that the proposed method gives 52% more QoS-provisioning than the conventional method using a constant QoS level derived from the worst-case time.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages709-712
Number of pages4
Volume4490 LNCS
EditionPART 4
Publication statusPublished - 2007 Dec 1
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: 2007 May 272007 May 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume4490 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Computational Science, ICCS 2007
CountryChina
CityBeijing
Period07/5/2707/5/30

Fingerprint

Multimedia
Execution Time
Adjustment
Quality of service
Energy
Budgets
Instant
Probability Distribution
Maximise
Probability distributions
Experiment
Experiments

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Lee, W. Y., Lee, H., & Kim, H. (2007). Energy-aware QoS adjustment of multimedia tasks with uncertain execution time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 4 ed., Vol. 4490 LNCS, pp. 709-712). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4490 LNCS, No. PART 4).

Energy-aware QoS adjustment of multimedia tasks with uncertain execution time. / Lee, Wan Yeon; Lee, Heejo; Kim, Hyogon.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4490 LNCS PART 4. ed. 2007. p. 709-712 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4490 LNCS, No. PART 4).

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

Lee, WY, Lee, H & Kim, H 2007, Energy-aware QoS adjustment of multimedia tasks with uncertain execution time. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 edn, vol. 4490 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 4490 LNCS, pp. 709-712, 7th International Conference on Computational Science, ICCS 2007, Beijing, China, 07/5/27.
Lee WY, Lee H, Kim H. Energy-aware QoS adjustment of multimedia tasks with uncertain execution time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 ed. Vol. 4490 LNCS. 2007. p. 709-712. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
Lee, Wan Yeon ; Lee, Heejo ; Kim, Hyogon. / Energy-aware QoS adjustment of multimedia tasks with uncertain execution time. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4490 LNCS PART 4. ed. 2007. pp. 709-712 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
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