Supporting stored video: Reducing rate variability and end-to-end resource requirements through optimal smoothing

James D. Salehi; Zhi Li Zhang; Jim Kurose; Don Towsley

doi:10.1109/90.720873

Supporting stored video: Reducing rate variability and end-to-end resource requirements through optimal smoothing

James D. Salehi, Zhi Li Zhang, Jim Kurose, Don Towsley

Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

230 Scopus citations

Abstract

Variable-bit-rate (VBR) compressed video can exhibit significant multiple-time-scale bit-rate variability. In this paper we consider the transmission of stored video from a server to a client across a network, and explore how the client buffer space can be used most effectively toward reducing the variability of the transmitted bit rate. Two basic results are presented. First, we show how to achieve the greatest possible reduction in rate variability when sending stored video to a client with given buffer size. We formally establish the optimality of our approach and illustrate its performance over a set of long MPEG-1 encoded video traces. Second, we evaluate the impact of optimal smoothing on the network resources needed for video transport, under two network service models: deterministic guaranteed service [1], [31] and renegotiated constant-bit-rate (RCBR) service [9]. Under both models, the impact of optimal smoothing is dramatic.

Original language	English (US)
Pages (from-to)	397-410
Number of pages	14
Journal	IEEE/ACM Transactions on Networking
Volume	6
Issue number	4
DOIs	https://doi.org/10.1109/90.720873
State	Published - 1998

Bibliographical note

Funding Information:
Manuscript received July 22, 1996; revised February 19, 1998; approved by IEEE/ACM TRANSACTIONS ON NETWORKING Editor J. Bolot. This work was supported by the National Science Foundation under Grant NCR-9206908, Grant CDA-9502639, and Grant CCR-9119922, and by the Advanced Research Projects Agency under ESD/AVS Contract F-19628-92-C-0089. J. D. Salehi is at 2025 W. Middlefield Rd., Mountain View, CA 94040 USA (e-mail: [email protected]). Z.-L. Zhang is with the Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455 USA. J. Kurose and D. Towsley are with the Department of Computer Science, University of Massachusetts, Amherst, MA 01003-4610 USA. Publisher Item Identifier S 1063-6692(98)06689-8.

Keywords

Computer network performance
Computer networks
Interactive TV
Multimedia communication
Multimedia systems
Network operating systems
Network servers

Publisher link

10.1109/90.720873

Find It

Find It at U of M Libraries

Cite this

@article{0675096978464136acc97ddf2c86db0a,

title = "Supporting stored video: Reducing rate variability and end-to-end resource requirements through optimal smoothing",

abstract = "Variable-bit-rate (VBR) compressed video can exhibit significant multiple-time-scale bit-rate variability. In this paper we consider the transmission of stored video from a server to a client across a network, and explore how the client buffer space can be used most effectively toward reducing the variability of the transmitted bit rate. Two basic results are presented. First, we show how to achieve the greatest possible reduction in rate variability when sending stored video to a client with given buffer size. We formally establish the optimality of our approach and illustrate its performance over a set of long MPEG-1 encoded video traces. Second, we evaluate the impact of optimal smoothing on the network resources needed for video transport, under two network service models: deterministic guaranteed service [1], [31] and renegotiated constant-bit-rate (RCBR) service [9]. Under both models, the impact of optimal smoothing is dramatic.",

keywords = "Computer network performance, Computer networks, Interactive TV, Multimedia communication, Multimedia systems, Network operating systems, Network servers",

author = "Salehi, \{James D.\} and Zhang, \{Zhi Li\} and Jim Kurose and Don Towsley",

note = "Funding Information: Manuscript received July 22, 1996; revised February 19, 1998; approved by IEEE/ACM TRANSACTIONS ON NETWORKING Editor J. Bolot. This work was supported by the National Science Foundation under Grant NCR-9206908, Grant CDA-9502639, and Grant CCR-9119922, and by the Advanced Research Projects Agency under ESD/AVS Contract F-19628-92-C-0089. J. D. Salehi is at 2025 W. Middlefield Rd., Mountain View, CA 94040 USA (e-mail: jim\[email protected]). Z.-L. Zhang is with the Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455 USA. J. Kurose and D. Towsley are with the Department of Computer Science, University of Massachusetts, Amherst, MA 01003-4610 USA. Publisher Item Identifier S 1063-6692(98)06689-8.",

year = "1998",

doi = "10.1109/90.720873",

language = "English (US)",

volume = "6",

pages = "397--410",

journal = "IEEE/ACM Transactions on Networking",

issn = "1063-6692",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - Supporting stored video

T2 - Reducing rate variability and end-to-end resource requirements through optimal smoothing

AU - Salehi, James D.

AU - Zhang, Zhi Li

AU - Kurose, Jim

AU - Towsley, Don

N1 - Funding Information: Manuscript received July 22, 1996; revised February 19, 1998; approved by IEEE/ACM TRANSACTIONS ON NETWORKING Editor J. Bolot. This work was supported by the National Science Foundation under Grant NCR-9206908, Grant CDA-9502639, and Grant CCR-9119922, and by the Advanced Research Projects Agency under ESD/AVS Contract F-19628-92-C-0089. J. D. Salehi is at 2025 W. Middlefield Rd., Mountain View, CA 94040 USA (e-mail: [email protected]). Z.-L. Zhang is with the Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455 USA. J. Kurose and D. Towsley are with the Department of Computer Science, University of Massachusetts, Amherst, MA 01003-4610 USA. Publisher Item Identifier S 1063-6692(98)06689-8.

PY - 1998

Y1 - 1998

N2 - Variable-bit-rate (VBR) compressed video can exhibit significant multiple-time-scale bit-rate variability. In this paper we consider the transmission of stored video from a server to a client across a network, and explore how the client buffer space can be used most effectively toward reducing the variability of the transmitted bit rate. Two basic results are presented. First, we show how to achieve the greatest possible reduction in rate variability when sending stored video to a client with given buffer size. We formally establish the optimality of our approach and illustrate its performance over a set of long MPEG-1 encoded video traces. Second, we evaluate the impact of optimal smoothing on the network resources needed for video transport, under two network service models: deterministic guaranteed service [1], [31] and renegotiated constant-bit-rate (RCBR) service [9]. Under both models, the impact of optimal smoothing is dramatic.

AB - Variable-bit-rate (VBR) compressed video can exhibit significant multiple-time-scale bit-rate variability. In this paper we consider the transmission of stored video from a server to a client across a network, and explore how the client buffer space can be used most effectively toward reducing the variability of the transmitted bit rate. Two basic results are presented. First, we show how to achieve the greatest possible reduction in rate variability when sending stored video to a client with given buffer size. We formally establish the optimality of our approach and illustrate its performance over a set of long MPEG-1 encoded video traces. Second, we evaluate the impact of optimal smoothing on the network resources needed for video transport, under two network service models: deterministic guaranteed service [1], [31] and renegotiated constant-bit-rate (RCBR) service [9]. Under both models, the impact of optimal smoothing is dramatic.

KW - Computer network performance

KW - Computer networks

KW - Interactive TV

KW - Multimedia communication

KW - Multimedia systems

KW - Network operating systems

KW - Network servers

UR - http://www.scopus.com/inward/record.url?scp=0032139108&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032139108&partnerID=8YFLogxK

U2 - 10.1109/90.720873

DO - 10.1109/90.720873

M3 - Article

AN - SCOPUS:0032139108

SN - 1063-6692

VL - 6

SP - 397

EP - 410

JO - IEEE/ACM Transactions on Networking

JF - IEEE/ACM Transactions on Networking

IS - 4

ER -

Supporting stored video: Reducing rate variability and end-to-end resource requirements through optimal smoothing

Abstract

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this