An adaptive optimal multimedia network transmission control scheme

Mei-Ling Shyu, Shu Ching Chen, Hongli Luo

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

2 Citations (Scopus)

Abstract

In this paper, we present a sender-driven adaptive optimal multimedia network transmission control scheme, which takes into account the buffer occupancy and network delay to maximize the utilization of network resources. For this purpose, adaptive network resource optimization with quadratic costs is used in the proposed scheme to provide the minimal allocation of the bandwidth and achieve the maximal utilization of the client buffer. Simulation results show that the transmission rate can be dynamically adjusted at the server according to the changing network delays and buffer packet sizes at the client to avoid the loss of packets, and at the same time to achieve the minimal bandwidth allocation at maximal utilization of the client buffer.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages1042-1047
Number of pages6
Volume2195
ISBN (Print)3540426809, 9783540426806
StatePublished - 2001
Event2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 - Beijing, China
Duration: Oct 24 2001Oct 26 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2195
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001
CountryChina
CityBeijing
Period10/24/0110/26/01

Fingerprint

Frequency allocation
Electric power transmission networks
Multimedia
Servers
Buffer
Bandwidth
Costs
Bandwidth Allocation
Resources
Server
Maximise
Optimization
Simulation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Shyu, M-L., Chen, S. C., & Luo, H. (2001). An adaptive optimal multimedia network transmission control scheme. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2195, pp. 1042-1047). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2195). Springer Verlag.

An adaptive optimal multimedia network transmission control scheme. / Shyu, Mei-Ling; Chen, Shu Ching; Luo, Hongli.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2195 Springer Verlag, 2001. p. 1042-1047 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2195).

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

Shyu, M-L, Chen, SC & Luo, H 2001, An adaptive optimal multimedia network transmission control scheme. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2195, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2195, Springer Verlag, pp. 1042-1047, 2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001, Beijing, China, 10/24/01.
Shyu M-L, Chen SC, Luo H. An adaptive optimal multimedia network transmission control scheme. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2195. Springer Verlag. 2001. p. 1042-1047. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Shyu, Mei-Ling ; Chen, Shu Ching ; Luo, Hongli. / An adaptive optimal multimedia network transmission control scheme. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2195 Springer Verlag, 2001. pp. 1042-1047 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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