The probability relationship between video’s instantaneous and average aggregate rates

Qadir, Qahhar Muhammad and Kist, Alexander A. and Zhang, Zhongwei (2016) The probability relationship between video’s instantaneous and average aggregate rates. Multimedia Tools and Applications, 75 (12). pp. 6909-6924. ISSN 1380-7501

Abstract

The growing demand for video applications and services has contributed substantially to the increase of video traffic on the Internet. Measurement-based admission control was proposed with the primary aim of eliminating or reducing the need of flow state information; also to control overhead for admission decision and maximize utilization
at the potential cost of QoS degradation. Some of the admission algorithms depend on the instantaneous rate for its operation. On the other hand, the average aggregate rate has been proposed to better suit variable rate such as video traffic. In this paper, we investigate the probability relationship between the instantaneous and average aggregate rates for video traffic. A mathematical model has been developed to quantify the probability relationship between both rates and validated through extensive simulations using real video sequences. The average rate was found to be lower than instantaneous for a small number of flows, however there was no pronounced difference for a large number of flows. Furthermore, the difference between both rates increases for fast moving content such as sport or longer measurement time window.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 01 Jun 2015 02:39
Last Modified: 20 Oct 2016 03:47
Uncontrolled Keywords: video, rate estimation, probability, traffic measurement
Fields of Research : 10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
10 Technology > 1005 Communications Technologies > 100504 Data Communications
10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
Socio-Economic Objective: B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified
B Economic Development > 89 Information and Communication Services > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified
Identification Number or DOI: 10.1007/s11042-015-2617-2
URI: http://eprints.usq.edu.au/id/eprint/27188

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