@article {18206,
	title = {Dynamic resource allocation via video content and short-term traffic statistics},
	journal = {Multimedia, IEEE Transactions on},
	volume = {3},
	year = {2001},
	month = {2001/06//},
	pages = {186 - 199},
	abstract = {The reliable and efficient transmission of high-quality variable bit rate (VBR) video through the Internet generally requires network resources be allocated in a dynamic fashion. This includes the determination of when to renegotiate for network resources, as well as how much to request at a given time. The accuracy of any resource request method depends critically on its prediction of future traffic patterns. Such a prediction can be performed using the content and traffic information of short video segments. This paper presents a systematic approach to select the best features for prediction, indicating that while content is important in predicting the bandwidth of a video hit stream, the use of both content and available short-term bandwidth statistics can yield significant improvements. A new framework for traffic prediction is proposed in this paper; experimental results show a smaller mean-square resource prediction error and higher overall link utilization},
	keywords = {allocation;link, allocation;multimedia, allocation;variable, bit, codes;, content;bandwidth, error;short, Internet;dynamic, patterns;variable, prediction, rate, resource, segments;short-term, statistics;traffic, systems;resource, traffic, utilization;mean-square, video, video;video},
	isbn = {1520-9210},
	doi = {10.1109/6046.923818},
	author = {M. Wu and Joyce,R.A. and Wong,Hau-San and Guan,Long and Kung,Sun-Yuan}
}
