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Estimating Network Flow Length Distributions via Bayesian Nonnegative Tensor Factorization
Joint Authors
Karabulut Kurt, Güneş
Kurt, Barış
Cemgil, Ali Taylan
Zeydan, Engin
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-18
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, we develop a framework to estimate network flow length distributions in terms of the number of packets.
We model the network flow length data as a three-way array with day-of-week, hour-of-day, and flow length as entities where we observe a count.
In a high-speed network, only a sampled version of such an array can be observed and reconstructing the true flow statistics from fewer observations becomes a computational problem.
We formulate the sampling process as matrix multiplication so that any sampling method can be used in our framework as long as its sampling probabilities are written in matrix form.
We demonstrate our framework on a high-volume real-world data set collected from a mobile network provider with a random packet sampling and a flow-based packet sampling methods.
We show that modeling the network data as a tensor improves estimations of the true flow length histogram in both sampling methods.
American Psychological Association (APA)
Kurt, Barış& Cemgil, Ali Taylan& Karabulut Kurt, Güneş& Zeydan, Engin. 2019. Estimating Network Flow Length Distributions via Bayesian Nonnegative Tensor Factorization. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1212294
Modern Language Association (MLA)
Kurt, Barış…[et al.]. Estimating Network Flow Length Distributions via Bayesian Nonnegative Tensor Factorization. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1212294
American Medical Association (AMA)
Kurt, Barış& Cemgil, Ali Taylan& Karabulut Kurt, Güneş& Zeydan, Engin. Estimating Network Flow Length Distributions via Bayesian Nonnegative Tensor Factorization. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1212294
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212294