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Additive and multiplicative mixture trees for network traffic modeling

Shriram Sarvotham, Xin Wang, Rudolf H. Riedi, Richard G. Baraniuk
2002 IEEE International Conference on Acoustics Speech and Signal Processing  
Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and Long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling  ...  This behavior can be explained by forming two components of the traffic according to the speed of connections, one component absorbing most traffic and being mostly Gaussian, the other constituting virtually  ...  Components of Network Traffic In search of the causes of the apparent non-Gaussianity and the well-documented burstiness of network traffic we revisited the classical ON/OFF model.  ... 
doi:10.1109/icassp.2002.5745544 dblp:conf/icassp/SarvothamWRB02 fatcat:6makuigtpngqre5ax6wjwlytge

Additive and multiplicative mixture trees for network traffic modeling

Sarvotham, Xin Wang, Riedi, Baraniuk
2002 IIEEE International Conference on Acoustics Speech and Signal Processing  
Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and Long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling  ...  This behavior can be explained by forming two components of the traffic according to the speed of connections, one component absorbing most traffic and being mostly Gaussian, the other constituting virtually  ...  Components of Network Traffic In search of the causes of the apparent non-Gaussianity and the well-documented burstiness of network traffic we revisited the classical ON/OFF model.  ... 
doi:10.1109/icassp.2002.1004805 fatcat:v2oqd2g2ejbf5f6v6ygbwme6py

User profiles based on revisitation times

Philipp Pushnyakov, Gleb Gusev
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
Our work is devoted to Web revisitation patterns of individual users. Everybody revisits Web pages, but their reasons for doing so can differ.  ...  We analyzed Web interaction logs of millions users to characterize how people revisit Web content. We revealed that each user have its own distribution of revisitation times.  ...  Our approach is similar to [1] in that we also consider the distribution of revisitation times, but we focus on the complete visitation behavior of a given user instead of following the incoming traffic  ... 
doi:10.1145/2567948.2577380 dblp:conf/www/PushnyakovG14 fatcat:rpxja7vtxbeehn7mrxiygasun4

A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Revisited

Ginno Millán, Gastón Lefranc
2021 figshare.com  
multifractal model that is proposed to give an explanation to the locality phenomenon that appears in the estimation of the Hurst exponent in the second-order stationary series that represent the selfsimilar traffic  ...  A typic = B (H) (k+1)  B Gaussian proc eral ways to s ). However, th re considered ficients of the entation, give     ( ) 1 ) k m m t m  g (m) (0).  ...  be used to simulate the approximate behavior of the real traffic flows.  ... 
doi:10.6084/m9.figshare.14336774.v1 fatcat:svsoniv5info5kyveuazbvdejm

Modeling Web Request and Session Level Arrivals

Xuan Wang, Katerina Goseva-Popstojanova
2009 2009 International Conference on Advanced Information Networking and Applications  
We propose a statistically rigorous approach which includes testing for non-stationarity and Gaussianity, and uses model selection criterion.  ...  results based on data extracted from six Web servers with different workload intensities show that (1) there is no one-fits-all solution and (2) servers with high workloads have both request and session traffic  ...  We believe that as Internet traffic changes and the workload intensity of Web servers increases, these invariants have to be revisited and revised if necessary.  ... 
doi:10.1109/aina.2009.114 dblp:conf/aina/WangG09 fatcat:25nhl3t5fvfbri6uy2utgxyuuu

A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Revisited [article]

G. Millán, G. Lefranc
2021 arXiv   pre-print
multifractal model that is proposed to give an explanation to the locality phenomenon that appears in the estimation of the Hurst exponent in the second-order stationary series that represent the self-similar traffic  ...  , and that it can be used to simulate realistic traffic flow from real networks.  ...  log c for every vary with t 1 ) 0 ( ) ( n n j k X k     esultant proce ns similar to X hat ( ) ( ) n d X k n  tationary proc self-similar s t exponent H Gaussian  ... 
arXiv:2103.05183v2 fatcat:mvimwk6cvrdc7decunwu3ga7yy

Performance-Oriented Routing in Telecommunication Networks

Hassan Hijazi, Olivier Klopfenstein
2010 2010 IEEE Global Telecommunications Conference GLOBECOM 2010  
The current paper revisits usual network routing models, in considering traffic stochasticity, with the aim of better modeling traffic multiplexing.  ...  Usually, each commodity to be routed is characterized by a single deterministic traffic value. However, telecommunication traffic is well known to be highly variable in time.  ...  The random variable b ′ i is not strictly Gaussian in general. However, the Gaussian framework introduced remains relevant, since the links aggregate several traffic demands.  ... 
doi:10.1109/glocom.2010.5685231 dblp:conf/globecom/HijaziK10 fatcat:nehrs6q6gnbnjngvbvwe5nrtnm

Highway Traffic Monitoring on Medium Resolution Satellite Images

Sebastien Drouyer, Carlo de Franchis
2019 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium  
Perhaps more importantly, the revisit frequency has also been greatly enhanced: providers such as Planet can now acquire images of an area on a daily basis.  ...  This approach can notably be used on Planet images, allowing to monitor traffic of an area on a daily basis.  ...  We must therefore add noise and blur. 3) We apply a gaussian noise with µ = 0 and σ = 200 on each channel separately. 4) We apply the same gaussian noise with µ = 0 and σ = 300 on all channels. 5) We choose  ... 
doi:10.1109/igarss.2019.8899777 dblp:conf/igarss/DrouyerF19 fatcat:qs7f4b6bl5d4xfs44jrirsuibe

Examining vehicular speed characteristics through divergences from prior distributions

Caglar Kosun
2021 SN Applied Sciences  
It was concluded that the KL divergence values for the highway speed data sets ranged between about 0.53 and 0.70 for the uniform case, while for the Gaussian case the obtained values are between 0.16  ...  Revisiting the maximum entropy method for the vehicular speed problem Vehicular speed data are in fact discrete. The author intends to adapt this discrete data to the continuous case.  ...  Thus, the large deviations from Gaussianity in the tail region could inform us about the stability and indicate the time-dependency of the traffic flow.  ... 
doi:10.1007/s42452-021-04194-3 fatcat:l6kt3o6j2zcmvodpcfpxchsr5u

New insights from the analysis of free flow vehicular traffic in highways

Marco Gramaglia, Pablo Serrano, Jose Alberto Hernandez, Maria Calderon, Carlos J. Bernardos
2011 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks  
First, we are revisiting the assumption on the i.i.d. [15] J.  ...  level of a vehicular network requires building a model of This work proposes a Gaussian-exponential mixture model to vehicular traffic from real measurements.  ... 
doi:10.1109/wowmom.2011.5986384 dblp:conf/wowmom/GramagliaSHCB11 fatcat:u2ho4lbzbfhmrpwpr5om73cqye

Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios [article]

Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi
2020 arXiv   pre-print
Results demonstrate that our proposed Bayesian nonparametric approach provides an insight into the complicated lane-change interactions of the ego vehicle with multiple surrounding traffic participants  ...  Our model relaxes dependency on the number of surrounding vehicles by developing an acceleration-sensitive velocity field based on Gaussian processes.  ...  In this section, we will first briefly revisit the model in our previous work [41] and then extend it to an acceleration-sensitive Gaussian velocity field by accounting for driver intents' impacts.  ... 
arXiv:2003.00759v2 fatcat:wygdmojgvndixbrez2hblmijpq

An air traffic prediction model based on kernel density estimation

Yi Cao, Lingsong Zhang, Dengfeng Sun
2013 2013 American Control Conference  
This paper revisits a link transmission model that is designed for nationwide air traffic prediction.  ...  Simulations based on historical traffic data of three months show that, in comparison with the conventional mean approach, use of the kernel density estimation in the sector count prediction leads to a  ...  The actual distribution (histogram) looks Gaussian alike.  ... 
doi:10.1109/acc.2013.6580831 fatcat:inqizvs2pzgpngz5tbeitut7my

Applying PCA for Traffic Anomaly Detection: Problems and Solutions

D. Brauckhoff, K. Salamatian, M. May
2009 IEEE INFOCOM 2009 - The 28th Conference on Computer Communications  
First, we revisit PCA for anomaly detection and evaluate its performance on our data. We develop a slightly modified version of PCA that uses only data from a single router.  ...  In section III, we revisit the PCA theory and develop its basic properties.  ...  In particular, we revisit PCA-based approaches for anomaly detection from a signal processing point of view.  ... 
doi:10.1109/infcom.2009.5062248 dblp:conf/infocom/BrauckhoffSM09 fatcat:wkbsaocyebcwdhshenyqryeibu

Intelligent Transportation Related Complex Systems and Sensors

Kyandoghere Kyamakya, Jean Chamberlain Chedjou, Fadi Al-Machot, Ahmad Haj Mosa, Antoine Bagula
2021 Sensors  
Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITSs) are being widely adopted worldwide to improve the efficiency and  ...  The work revisited the issue of forecasting passenger flows on metro lines by proposing the use of artificial neural networks (ANNs).  ...  The study in [19] revisits the costly and time-consuming issue of subjective evaluation of vehicle ride comfort for vehicle development.  ... 
doi:10.3390/s21062235 pmid:33806856 fatcat:5mz62suxsnhjnpmpaj7lix3hvi

Optimizing the Performance of Wireless Sensor Network Based on Software Defined Network and Gaussian Filter

Jumana Khearallah, Khalida Rijab
2022 Engineering and Technology Journal  
The data transmission process is controlled by SDN, and a Gaussian filter is applied before transmitting data to minimize error data.  ...  The proposed model (SDN-WSN with Gaussian filter) is applied to enhance signal transmission, reduce data error, reduce congestion network and reduce data overflow data.  ...  The 1 st activity creates traffic flow, and the 2nd activity is forwarding the traffic Forwarding Cluster Head.  Connecting between Forwarding Cluster Head, cloud, member nodes encompass single-hop wireless  ... 
doi:10.30684/etj.v40i2.2221 fatcat:uyshfzc3hvdm5lc4smau2eenza
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