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Euclidean versus Hyperbolic Congestion in Idealized versus Experimental Networks

Edmond Jonckheere, Mingji Lou, Francis Bonahon, Yuliy Baryshnikov
2011 Internet Mathematics  
This paper proposes a mathematical justification of the phenomenon of extreme congestion at a very limited number of nodes in very large networks.  ...  This provides a theoretical justification of the experimental exponent discrepancy observed by Narayan and Saniee between traffic loads in Gromov-hyperbolic networks from the Rocketfuel data base and synthetic  ...  treme congestion at a very limited number of nodes in very large networks.  ... 
doi:10.1080/15427951.2010.554320 fatcat:rmjgx2pthfd3xcos42h7wv32eu

Curvature of Indoor Sensor Network: Clustering Coefficient

F Ariaei, M Lou, E Jonckheere, B Krishnamachari, M Zuniga
2008 EURASIP Journal on Wireless Communications and Networking  
Clustering coefficient analysis is a computationally simplified, semilocal approach, which nevertheless captures such a large-scale feature as congestion in the underlying network.  ...  In particular, we explore the concept of the curvature of a wireless network via the clustering coefficient.  ...  In the context of wireless networks, the idealized model of random geometric graphs G(n, R) has been studied in great depth [1] [2] [3] [4] [5] .  ... 
doi:10.1155/2008/213185 fatcat:4wpqw6otufeippmamfhwu2b4mu

Vivaldi

Frank Dabek, Russ Cox, Frans Kaashoek, Robert Morris
2004 Computer communication review  
An evaluation of Vivaldi using a simulated network whose latencies are based on measurements among 1740 Internet hosts shows that a 2-dimensional Euclidean model with height vectors embeds these hosts  ...  with low error (the median relative error in round-trip time prediction is 11 percent).  ...  The relative location of a host in a network may change due to congestion or even reconfiguration of the network.  ... 
doi:10.1145/1030194.1015471 fatcat:7wobjfnarra5vmctzimmxwrz7a

Vivaldi

Frank Dabek, Russ Cox, Frans Kaashoek, Robert Morris
2004 Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications - SIGCOMM '04  
An evaluation of Vivaldi using a simulated network whose latencies are based on measurements among 1740 Internet hosts shows that a 2-dimensional Euclidean model with height vectors embeds these hosts  ...  with low error (the median relative error in round-trip time prediction is 11 percent).  ...  The relative location of a host in a network may change due to congestion or even reconfiguration of the network.  ... 
doi:10.1145/1015467.1015471 dblp:conf/sigcomm/DabekCKM04 fatcat:y4okbb5prfaavercvcs3jn5gam

Sustaining the Internet with hyperbolic mapping

Marián Boguñá, Fragkiskos Papadopoulos, Dmitri Krioukov
2010 Nature Communications  
Besides this immediate practical viability, our network mapping method can provide a different perspective on the community structure in complex networks.  ...  Here we present a method to map the Internet to a hyperbolic space.  ...  Empirical versus theoretical connection probability.  ... 
doi:10.1038/ncomms1063 pmid:20842196 fatcat:glq4iga2hzck5alpnhsbdrhvzm

Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction [article]

Alessandro Muscoloni, Umberto Michieli, Carlo Vittorio Cannistraci
2018 arXiv   pre-print
rise of hyperbolic geometry in complex networks.  ...  We propose to found a latent geometry theory of link-prediction in complex networks.  ...  Although in the hyperbolic disk visualization the local-tunnel has a shape that resembles the hyperbolic distances (curved toward the centre), we clarify that the proposed term, tunnel, is only an idealized  ... 
arXiv:1707.09496v2 fatcat:km7i3ljhrze4jlcalqc5cdtdjq

Do Sensornet Protocol Variants Yield Real Benefits?

Jonathan Tate, Iain Bate
2010 2010 17th IEEE International Conference and Workshops on Engineering of Computer Based Systems  
In this paper we evaluate the relative performance of gossiping protocol variants in non-ideal sensornets.  ...  Simple, stateless networking protocols provide a low-cost and predictable foundation upon which to build decentralised applications.  ...  This assumption may not hold in sensornets. For example, network congestion induced by an initial attempt may render subsequent attempts less likely to succeed.  ... 
doi:10.1109/ecbs.2010.10 dblp:conf/ecbs/TateB10 fatcat:tsfne3xurnacnnqcqweh7hfjhy

The Viscous Slowing Down of Supercooled Liquids and the Glass Transition: Phenomenology, Concepts, and Models [article]

G. Tarjus, D. Kivelson
2000 arXiv   pre-print
In this review, we stress the distinctive features characterizing the phenomenon.  ...  theoretical approaches, with an emphasis on the concepts (free volume, dynamic freezing and mode-coupling approximations, configurational entropy and energy landscape, frustration) that could be useful in  ...  Breakdown of the "idealized" mode-coupling theory illustrated on log 10 (η) versus 1/T for liquid ortho-terphenyl (see caption to Fig. 9 ).  ... 
arXiv:cond-mat/0003368v1 fatcat:gx4r3wzidnezrlqpkyf5e2d6bu

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting [article]

Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Ziyuan Pu, Yinhai Wang
2019 arXiv   pre-print
interactions between roadways in the traffic network and forecast the network-wide traffic state.  ...  The visualization of the graph convolution weights indicates that the proposed framework can recognize the most influential road segments in real-world traffic networks.  ...  This is also the reason why we choose =3 in the model comparison part, as shown in TABLE II. C. Experimental Results D.  ... 
arXiv:1802.07007v3 fatcat:hbe7op57bjdlhebbcieitxtzym

Development of a New Intelligent Joystick for People with Reduced Mobility

Makrem Mrabet, Yassine Rabhi, Farhat Fnaiech
2018 Applied Bionics and Biomechanics  
The system is based on a neural algorithm that overcomes problems with standard joystick maneuvers such as the inability to move correctly in one direction.  ...  Then, we put these data (ideal displacement and displacement of handicap) in a recurrent neural network-learning algorithm in order to speculate the optimal one that corrects the different errors appearing  ...  The results obtained are two joystick angle data matrices and amplitude versus time values. These movements will be saved and used as training sets for the recurring neural network. 6.2.  ... 
doi:10.1155/2018/2063628 pmid:29765462 pmcid:PMC5885488 fatcat:nm7t6jcdsfd77i7lekju4vn6ee

Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers [chapter]

Dalton Lunga, Tshilidzi Marwala
2006 Lecture Notes in Computer Science  
The success of Neural Networks (N N ) in engineering applications, e.g. object tracking and face recognition has motivated its application to the finance industry.  ...  Neural Network method is a technique that is heavily researched and used in applications within the engineering field for various purposes ranging from process control to biomedical applications.  ...  Acknowledgements The work described in this dissertation was carried out at the University of Witwatersrand, in the School of Electrical and Information Engineering 2005/2006.  ... 
doi:10.1007/11941439_35 fatcat:l22nvvnurvbndahonn2hodbzky

A comprehensive survey on machine learning for networking: evolution, applications and research opportunities

Raouf Boutaba, Mohammad A. Salahuddin, Noura Limam, Sara Ayoubi, Nashid Shahriar, Felipe Estrada-Solano, Oscar M. Caicedo
2018 Journal of Internet Services and Applications  
and classification, congestion control, resource and fault management, QoS and QoE management, and network security.  ...  There are various surveys on ML for specific areas in networking or for specific network technologies.  ...  This work is supported in part by the Royal Bank of Canada, NSERC Discovery Grants Program, the Quebec FRQNT postdoctoral research fellowship, the ELAP scholarship, and the COLCIENCIAS Scholarship Program  ... 
doi:10.1186/s13174-018-0087-2 fatcat:jvwpewceevev3n4keoswqlcacu

The geographies of urban density

Colin McFarlane
2016 Progress in Human Geography  
provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in  ...  ', Progress in human geography. . Further information on publisher's website: http://dx.  ...  long histories of experimental urban squatting witnessed in Amsterdam, Berlin or Copenhagen (Vasudevan, 2014a (Vasudevan, , 2014b , or in the calculations that increasingly constitute the everyday lives  ... 
doi:10.1177/0309132515608694 fatcat:6tyo2hee6faf7m5jpsk4qfzu64

Internet Location Verification: Challenges and Solutions [article]

AbdelRahman Abdou
2018 arXiv   pre-print
We evaluate CPV through extensive real-world experiments with legitimate clients (those truly present at where they asserted to be) modeled to use both wired and wireless access networks.  ...  We then propose Client Presence Verification (CPV) as a delay-based technique to verify an assertion about a client's physical presence in a prescribed geographic region.  ...  Their vast knowledge and continuous guidance have helped shape the contributions in this thesis.  ... 
arXiv:1802.05169v1 fatcat:zihazccfu5cwzajuztp5ehtsve

Signal Detection in Pharmacovigilance: A Review of Informatics-driven Approaches for the Discovery of Drug-Drug Interaction Signals in Different Data Sources

Heba Ibrahim, A. Abdo, Ahmed M. El Kerdawy, A. Sharaf Eldin
2021 Artificial Intelligence in the Life Sciences  
In this article, we review informatics-driven approaches applied by authors focusing on DDI signal detection using different data sources.  ...  This review is substantiated based on the fact that DDIs are contributing to a public health problem represented in 6-30% adverse drug event occurrences.  ...  Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this review paper  ... 
doi:10.1016/j.ailsci.2021.100005 fatcat:m324w243gfflxpiyq3g2qt7znq
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