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Traffic shaping measurements and analyses in 3G network

Published: 03 November 2013 Publication History

Abstract

Traffic shaping effect may have significant impact on end-to-end Quality of Service (QoS) provisioning. Therefore, it should be carefully studied in order to allow the creation of appropriate traffic models to be used for simulations. First, to demonstrate the traffic shaping effect, we present statistical analyses on real-time measurements of diverse traffic sources (voice and video over IP) in a 3G network. By comparing the statistical distributions of the packet inter-arrival times for both the forward and backward direction, we can demonstrate directly the end-to-end traffic shaping effect introduced by the IP core network. Hence, we argue that distributed QoS management approach is needed. Additionally, we give the mean, variance, mean standard deviation, skewness, and kurtosis of the inter-arrival times, which can be used as input for simulation models. The accurate validation of the probability distributions is ensured by the Wolfram Mathematica and Crystal Ball statistical tools. Second, for the same set of measurements, we propose and defend with evaluations the use of the gamma distribution as best fitting function to traffic dynamics. Our proposal is applicable for traffic environments found in delay-tolerant networks, opportunistic networks, Internet of Things, sensor networks etc.

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Cited By

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  • (2016)AALaaS intelligent backhauls for P2P communication in 5G mobile networks2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)10.1109/BlackSeaCom.2016.7901577(1-5)Online publication date: 2016
  • (2015)Traffic Analyses and MeasurementsResource Management of Mobile Cloud Computing Networks and Environments10.4018/978-1-4666-8225-2.ch006(122-173)Online publication date: 2015
  • (2015)Quality trend measurement of long-distance VoIP communication via estimated mean opinion score2015 10th International Conference on Information, Communications and Signal Processing (ICICS)10.1109/ICICS.2015.7459895(1-5)Online publication date: Dec-2015

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cover image ACM Conferences
HP-MOSys '13: Proceedings of the 2nd ACM workshop on High performance mobile opportunistic systems
November 2013
98 pages
ISBN:9781450323727
DOI:10.1145/2507908
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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Published: 03 November 2013

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HP-MOSys '13 Paper Acceptance Rate 13 of 35 submissions, 37%;
Overall Acceptance Rate 13 of 35 submissions, 37%

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Cited By

View all
  • (2016)AALaaS intelligent backhauls for P2P communication in 5G mobile networks2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)10.1109/BlackSeaCom.2016.7901577(1-5)Online publication date: 2016
  • (2015)Traffic Analyses and MeasurementsResource Management of Mobile Cloud Computing Networks and Environments10.4018/978-1-4666-8225-2.ch006(122-173)Online publication date: 2015
  • (2015)Quality trend measurement of long-distance VoIP communication via estimated mean opinion score2015 10th International Conference on Information, Communications and Signal Processing (ICICS)10.1109/ICICS.2015.7459895(1-5)Online publication date: Dec-2015

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