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Numerical Estimation of Network Traffic Failure Based on Probabilistic Approximation Methods: To what extent the network traffic failure can be predicted?

Published: 04 January 2021 Publication History

Abstract

As for the modern network traffic circulation which has been realized by the Internet, it is one thing to discuss the problem asking how to detect where the network traffic failure has occurred, and quite another to discuss the problem asking how to predict and how to estimate the frequency indicating numerically how often the network traffic failure occurs, because the former problem, which is called the network traffic failure detection problem, and the latter problem, which is called the network traffic failure estimation problem, are investigated with the network skills based on the statistical methods and the network skills based on the probabilistic methods, respectively. Moreover, since it is one thing to locate the network traffic failure on the network segments and quite another to predict them beforehand, it is important for us to apply not only statistical methods but also probabilistic ones for the solutions to these problems.

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C. Hopps, Analysis of an Equal-Cost Multi-Path Algorithm, RFC2992, Available: https://tools.ietf.org/html/rfc2992
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D. E. Knuth, The Art of Computer Programming-Fundamental Algorithms-, vol. 1, Addison-Wesley Publishing Company, Massachusetts, 2nd edition, 1973.
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CCRIS '20: Proceedings of the 2020 1st International Conference on Control, Robotics and Intelligent System
October 2020
217 pages
ISBN:9781450388054
DOI:10.1145/3437802
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 January 2021

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Author Tags

  1. Generation rate
  2. Network traffic failure
  3. Probabilistic approximate estimation

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  • Tokyo University of Science

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CCRIS 2020

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