Economies of scale for long-range dependent traffic in short buffers Academic Article

abstract

• Consider the problem of predicting loss ratios for traffic streams sharing a buffer. Approximations based on the temporal statistical properties of single sources do not account for the economies of scale which can arise when there is statistical multiplexing gain across sources. These can occur whether the sources have long or short range dependence; in either case the economies may be positive or negative. In this paper we investigate this matter for sources described by fractional ARIMA processes, and show that their short-range structure can mean that a simple power-law tail based on the Hurst parameter alone can be over-optimistic when the buffer space allocated per source is not large. J.C. Baltzer AG, Science Publishers.

authors

• Duffield, Nick

published proceedings

• TELECOMMUNICATION SYSTEMS

author list (cited authors)

• Duffield, N. G.

citation count

• 10

complete list of authors

• Duffield, NG

publication date

• June 1997

publisher

• Springer Nature  Publisher

published in

• Telecommunication Systems  Journal

keywords

• 40 Engineering
• 4006 Communications Engineering
• 46 Information And Computing Sciences
• 4606 Distributed Computing And Systems Software

Digital Object Identifier (DOI)

• 10.1023/A:1019128530075

start page

• 267

end page

• 280

volume

• 7

issue

• 1-3

URL

• http://dx.doi.org/10.1023/a:1019128530075