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Source traffic analysis

Published: 27 August 2010 Publication History

Abstract

Traffic modeling and simulation plays an important role in the area of Network Monitoring and Analysis, for it provides practitioners with efficient tools to evaluate the performance of networks and of their elements. This article focus on the traffic generated by a single source, providing an overview of what was done in the field and studying the statistical properties of the traffic produced by a personal computer, including analysis of the autocorrelation structure. Different distributions were fitted to the interarrival times, packet sizes, and byte count processes with the goal of singling out the ones most suitable for traffic generation.

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  • (2022)Time Series Traffic Analysis based on PCA and GMM Algorithm2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)10.1109/ICBAIE56435.2022.9985812(706-710)Online publication date: 15-Jul-2022
  • (2018)A case for preamble compression in multi-clock-rate sampling devices for energy efficient idle listeningWireless Networks10.1007/s11276-016-1422-924:5(1593-1608)Online publication date: 1-Jul-2018
  • (2016)Development and Analysis of Power Saving Models for Energy Conservation in IEEE 802.16m NetworksWireless Personal Communications: An International Journal10.1007/s11277-015-3071-187:2(443-460)Online publication date: 1-Mar-2016
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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications
ACM Transactions on Multimedia Computing, Communications, and Applications  Volume 6, Issue 3
August 2010
203 pages
ISSN:1551-6857
EISSN:1551-6865
DOI:10.1145/1823746
Issue’s Table of Contents
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: 27 August 2010
Accepted: 01 August 2009
Revised: 01 October 2008
Received: 01 February 2008
Published in TOMM Volume 6, Issue 3

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Author Tags

  1. Modeling
  2. Self-similarity
  3. simulation
  4. source traffic analysis

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Cited By

View all
  • (2022)Time Series Traffic Analysis based on PCA and GMM Algorithm2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)10.1109/ICBAIE56435.2022.9985812(706-710)Online publication date: 15-Jul-2022
  • (2018)A case for preamble compression in multi-clock-rate sampling devices for energy efficient idle listeningWireless Networks10.1007/s11276-016-1422-924:5(1593-1608)Online publication date: 1-Jul-2018
  • (2016)Development and Analysis of Power Saving Models for Energy Conservation in IEEE 802.16m NetworksWireless Personal Communications: An International Journal10.1007/s11277-015-3071-187:2(443-460)Online publication date: 1-Mar-2016
  • (2015)On the self-similarity of traffic generated by network traffic simulatorsModeling and Simulation of Computer Networks and Systems10.1016/B978-0-12-800887-4.00010-9(285-311)Online publication date: 2015
  • (2014)A tool for estimating the hurst parameter and for generating self-similar sequencesProceedings of the 2014 Summer Simulation Multiconference10.5555/2685617.2685657(1-8)Online publication date: 6-Jul-2014
  • (2013)An efficient preamble compression for multi clock-rate sampling wireless devices2013 19th IEEE International Conference on Networks (ICON)10.1109/ICON.2013.6781981(1-6)Online publication date: Dec-2013
  • (2013)Power consumption modeling of femto-assisted cellular networks using Renewal Reward Process2013 19th IEEE International Conference on Networks (ICON)10.1109/ICON.2013.6781964(1-6)Online publication date: Dec-2013

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