Paper Info
Title
The influence of long-range dependence on traffic prediction
Abstract
Predicting traffic requirements is a fundamental objective of network management algorithms, whether explicitly stated or not. Considering the abundant evidence that traffic is long-range dependent (LRD) and the fact that the history of long-range dependent processes has significant impact on the present value of the process, it is natural to assume that predicting LRD traffic would be rather rewarding. Although there is indeed significant performance gain in using the correlation structure as the Hurst parameter increases, we show in this paper that this is primarily due to the utilization of the specific short-term correlations that occur within the structure of the traffic, rather than storing a long history of the traffic and utilizing the long-term correlations that exist between the future traffic level and this stored history. This conclusion is demonstrated using two specific management functions: rate control for elastic connections, and queue management using probabilistic packet discarding
Year
DOI
Venue
2001
10.1109/ICC.2001.936787
Communications, 2001. ICC 2001. IEEE International Conference
Keywords
Field
DocType
Gaussian noise,correlation methods,fractals,packet switching,prediction theory,probability,quality of service,queueing theory,telecommunication network management,telecommunication traffic,Hurst parameter,LRD traffic,correlation structure,elastic connections,fractional Gaussian noise,long-range dependence,long-term correlation,management functions,network management algorithms,probabilistic packet discarding,queue management,rate control,short-term correlation,stored history,traffic prediction,traffic structure
Computer science,Network packet,Hurst exponent,Computer network,Quality of service,Network topology,Queueing theory,Queue management system,Probabilistic logic,Network management
Conference
Volume
ISBN
Citations 
4
0-7803-7097-1
20
PageRank 
References 
Authors
1.29
11
2
Name
Order
Citations
PageRank
Sven A. M. Östring1271.84
Sirisena, H.2201.29