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On the Distribution of Traffic Volumes in the Internet and its Implication

Zakhleniuk, Nickolay and Alasmar, Mohammed and Parisis, George and Clegg, Richard (2019) On the Distribution of Traffic Volumes in the Internet and its Implication. In: IEEE International Conference on Computer Communications (IEEE INFOCOM 2019), 2019-04-29 - 2019-05-02, Paris, France.

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Abstract

Getting good statistical models of traffic on network links is a well-known, often-studied problem. A lot of attention has been given to correlation patterns and flow duration. The distribution of the amount of traffic per unit time is an equally important but less studied problem. We study a large number of traffic traces from many different networks including academic, commercial and residential networks using state-of-the-art statistical techniques. We show that the log-normal distribution is a better fit than the Gaussian distribution commonly claimed in the literature. We also investigate a second heavy-tailed distribution (the Weibull) and show that its performance is better than Gaussian but worse than log-normal. We examine anomalous traces which are a poor fit for all distributions tried and show that this is often due to traffic outages or links that hit maximum capacity. We demonstrate the utility of the log-normal distribution in two contexts: predicting the proportion of time traffic will exceed a given level (for service level agreement or link capacity estimation) and predicting 95th percentile pricing. We also show the log-normal distribution is a better predictor than Gaussian or Weibull distributions.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications. Proceedings of a meeting held 29 April - 2 May 2019, Paris, France.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 13 Feb 2019 16:47
Last Modified: 24 Sep 2019 15:15
URI: http://repository.essex.ac.uk/id/eprint/24028

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