NDLI: Data networks as cascades: investigating the multifractal nature of Internet WAN traffic

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Data networks as cascades: investigating the multifractal nature of Internet WAN traffic

Content Provider	ACM Digital Library
Author	Feldmann, A. Willinger, W. Gilbert, A. C.
Abstract	In apparent contrast to the well-documented self-similar (i.e., monofractal) scaling behavior of measured LAN traffic, recent studies have suggested that measured TCP/IP and ATM WAN traffic exhibits more complex scaling behavior, consistent with multifractals. To bring multifractals into the realm of networking, this paper provides a simple construction based on cascades (also known as multiplicative processes) that is motivated by the protocol hierarchy of IP data networks. The cascade framework allows for a plausible physical explanation of the observed multifractal scaling behavior of data traffic and suggests that the underlying multiplicative structure is a traffic invariant for WAN traffic that co-exists with self-similarity. In particular, cascades allow us to refine the previously observed self-similar nature of data traffic to account for local irregularities in WAN traffic that are typically associated with networking mechanisms operating on small time scales, such as TCP flow control.To validate our approach, we show that recent measurements of Internet WAN traffic from both an ISP and a corporate environment are consistent with the proposed cascade paradigm and hence with multifractality. We rely on wavelet-based time-scale analysis techniques to visualize and to infer the scaling behavior of the traces, both globally and locally. We also discuss and illustrate with some examples how this cascade-based approach to describing data network traffic suggests novel ways for dealing with networking problems and helps in building intuition and physical understanding about the possible implications of multifractality on issues related to network performance analysis.
Starting Page	42
Ending Page	55
Page Count	14
File Format	PDF
ISBN	1581130031
DOI	10.1145/285237.285256
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1998-10-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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