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Student Self-Assessment (Assessment in Schools: Principles in Practice)

Routledge
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9780367691677
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ISBN13:
9780367691677
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This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks. Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks. Scholars and graduates studying network traffic in computer science will find the book beneficial--


  • | Author: Maddalena Taras, Ming Li, Hwei Ming Wong
  • | Publisher: Routledge
  • | Publication Date: Dec 30, 2022
  • | Number of Pages: 198 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 0367691671
  • | ISBN-13: 9780367691677
Author:
Maddalena Taras, Ming Li, Hwei Ming Wong
Publisher:
Routledge
Publication Date:
Dec 30, 2022
Number of pages:
198 pages
Language:
English
Binding:
Paperback
ISBN-10:
0367691671
ISBN-13:
9780367691677