Skip to main contentSkip to search
Episciences
Open Access Journals
Sign in(new window)
Discrete Mathematics & Theoretical Computer Science logo
Discrete Mathematics & Theoretical Computer Science
Discrete Mathematics & Theoretical Computer Science logo
Discrete Mathematics & Theoretical Computer Science
Sign in(new window)
Articles & Issues
All articlesAll accepted articlesAll volumesLast volumeSectionsSpecial issuesAuthors
About
The journalIndexing
Boards
Publish
For authorsEthical charter
Submit
Discrete Mathematics & Theoretical Computer Science logo
Contact
|
Credits
eISSN 1365-8050
|
RSS
|
Atom
Episciences
Documentation
|
Acknowledgements
|
Publishing policy
Accessibility: non-compliant
|
Legal mentions
|
Privacy statement
|
Terms of use
  1. Home > Articles & Issues >
  2. Articles >
  3. LOGLOG counting for ...
Conference paper

LOGLOG counting for the estimation of IP traffic

Olivier Gandouet (1) (2), Alain Jean-Marie ORCID (3) (1)
(1) Models for the performance analysis and the control of networks
(2) Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
(3) Algorithmes et Performance des Réseaux
Download article
Open on HAL
Imported on
May 10, 2017
Published on
December 31, 2005
Last modified on
March 31, 2025
Volume 0
DMTCS Proceedings vol. AG, Fourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities
Proceedings
DOI
10.46298/dmtcs.3503
License
https://about.hal.science/hal-authorisation-v1
Indicators
543
Views
535
Downloads

LOGLOG counting for the estimation of IP traffic

Olivier Gandouet (1) (2), Alain Jean-Marie ORCID (3) (1)
(1) Models for the performance analysis and the control of networks
(2) Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
(3) Algorithmes et Performance des Réseaux
Abstract
In this paper, we discuss the problem of estimating the number of "elephants'' in a stream of IP packets. First, the problem is formulated in the context of multisets. Next, we explore some of the theoretical space complexity of this problem, and it is shown that it cannot be solved with less than $\Omega (n)$ units of memory in general, $n$ being the number of different elements in the multiset. Finally, we describe an algorithm, based on Durand-Flajolet's LOGLOG algorithm coupled with a thinning of the packet stream, which returns an estimator of the number of elephants using a small amount of memory. This algorithm allows a good estimation for particular families of random multiset. The mean and variance of this estimator are computed. The algorithm is then tested on synthetic data.
Keywords
  • [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]
  • [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
  • [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]
  • Probabilistic counting
  • Communication Complexity
  • IP traffic
Preview
Loading PDF preview...