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Multilayer networks: an architecture framework

Tom Lehman, Xi Yang, Nasir Ghani, Feng Gu, Chin Guok, Inder Monga, Brian Tierney
2011 IEEE Communications Magazine  
We present an architecture framework for the control and management of multilayer networks and associated advanced network services.  ...  We also summarize the current state of deployments and use of network services based on this multilayer network architecture framework.  ...  Along these lines, in this article we present an architecture framework for the control and management of a multilayer network (MLN) and its associated advanced network services.  ... 
doi:10.1109/mcom.2011.5762808 fatcat:hjjqwrtzm5cjfikv5jpgjgczqa


2009 International journal of pattern recognition and artificial intelligence  
We define the problem of optimizing the architecture of a multilayer perceptron (MLP) as a state space search and propose the MOST (Multiple Operators using Statistical Tests) framework that incrementally  ...  Our results show that: (1) On most datasets, networks with few hidden units are optimal, (2) forward searching finds simpler architectures, (3) variants using single node additions (deletions) generally  ...  Mellon University, which is a re-engineered version of the C port, by Scott Crowder, of the original Lisp code by Scott Fahlman. 16 This work has been supported by the Turkish Academy of Sciences in the framework  ... 
doi:10.1142/s0218001409007132 fatcat:du5qz32fkzejpfgwuegyqfijnm

An Architectural Framework for Healthcare Dashboards Design

Saeed Rouhani, Shooka Zamenian, Osamah Ibrahim Khalaf
2021 Journal of Healthcare Engineering  
Following the steps of metasynthesis methods, the principles extracted with major and minor titles principles and guidelines in the form of multilayered system architecture including presentation layer  ...  The purpose of the current research is to provide a framework to design the healthcare dashboard through technical architecture with fulfilling the decision-makers' requirements.  ...  of enterprise, dashboards were classified as "Multilayer System Architecture".  ... 
doi:10.1155/2021/1964054 pmid:34745492 pmcid:PMC8566039 fatcat:or5add6swfbojarnsqxous5oyq

Multilayer Brain Networks

Michael Vaiana, Sarah Feldt Muldoon
2018 Journal of nonlinear science  
Here, we review multilayer networks and their applications in neuroscience, showing how incorporating the multilayer framework into network neuroscience analysis has uncovered previously hidden features  ...  The field of neuroscience is facing an unprecedented expanse in the volume and diversity of available data.  ...  A temporal network is an example of a multilayer network with two dimensions: nodes and time.  ... 
doi:10.1007/s00332-017-9436-8 fatcat:h22egvxycvemnflu2mx3vbxg5q

Multilayer bootstrap networks [article]

Xiao-Lei Zhang
2018 arXiv   pre-print
Multilayer bootstrap network builds a gradually narrowed multilayer nonlinear network from bottom up for unsupervised nonlinear dimensionality reduction.  ...  The multilayer network gradually reduces the nonlinear variations of data from bottom up by building a vast number of hierarchical trees implicitly on the original data space.  ...  Multilayer bootstrap networks 2.1. Network structure MBN contains multiple hidden layers and an output layer (Fig. 1 ).  ... 
arXiv:1408.0848v8 fatcat:boihnyheffhqhl34ssv5sbglvy

Resilience in multilayer networks

P. Demeester, M. Gryseels, A. Autenrieth, C. Brianza, L. Castagna, G. Signorelli, R. Clemenfe, M. Ravera, A. Lajszczyk, D. Janukowicz, K. Van Doorselaere, Y. Harada
1999 IEEE Communications Magazine  
The integration of different technologies such as ATM, SDH, and WDM in multilayer transport networks raises many questions regarding the coordination of the individual network layers.  ...  He has been working on teletraffic study, network planning algorithms, network planning tools, dynamic routing algorithms, development of network operation systems, security architecture, ATM standardization  ...  His main research interests include modeling, planning, and evaluation of multitechnology network architectures. s Figure 1 . 1 The PANEL framework for multilayer survivability.  ... 
doi:10.1109/35.783128 fatcat:e5s4qe4qwraynmgawferr4kznm

Principled Multilayer Network Embedding [article]

Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen
2017 arXiv   pre-print
Multilayer network analysis has become a vital tool for understanding different relationships and their interactions in a complex system, where each layer in a multilayer network depicts the topological  ...  In this paper, by extending a standard graph mining into multilayer network, we have proposed three methods ("network aggregation," "results aggregation" and "layer co-analysis") to project a multilayer  ...  Figure 2 shows the three proposed architectures for projecting a multilayer network into a vector space.  ... 
arXiv:1709.03551v3 fatcat:xa2tptlng5dmdaka3hyxdiy6vy

Multilayer Detection of Network Steganography

Milosz Smolarczyk, Krzysztof Szczypiorski, Jakub Pawluk
2020 Electronics  
This paper presents a new method for steganography detection in network protocols.  ...  We also describe a means of applying our method for multilayer detection of a popular RSTEG (Retransmission Steganography) technique.  ...  Funding: This scientific research work was co-financed by the European Union, project name: "The system for identification and monitoring of anomalies and risks in ICT networks".  ... 
doi:10.3390/electronics9122128 fatcat:bbqlbegtfjfo5icowgupetlnaq

F-CNN: An FPGA-based framework for training Convolutional Neural Networks

Wenlai Zhao, Haohuan Fu, Wayne Luk, Teng Yu, Shaojun Wang, Bo Feng, Yuchun Ma, Guangwen Yang
2016 2016 IEEE 27th International Conference on Application-specific Systems, Architectures and Processors (ASAP)  
This paper presents a novel reconfigurable framework for training Convolutional Neural Networks (CNNs).  ...  The proposed framework is based on reconfiguring a streaming datapath at runtime to cover the training cycle for the various layers in a CNN.  ...  CONCLUSION We propose F-CNN, a novel reconfigurable framework for training convolutional neural networks.  ... 
doi:10.1109/asap.2016.7760779 dblp:conf/asap/ZhaoFLYWFMY16 fatcat:yx347ll6nnap5b3kgbbe3z3ucq

Noise robustness in multilayer neural networks

M Copelli, R Eichhorn, O Kinouchi, M Biehl, R Simonetti, P Riegler, N Caticha
1997 Europhysics letters  
PACS. 07.05Mh -Neural networks, fuzzy logic, artificial intelligence. Abstract. -The training of multilayered neural networks in the presence of different types of noise is studied.  ...  Noise robustness in multilayer neural networks Copelli, M.; Eichhorn, R.; Kinouchi, O.; Biehl, M.; Simonetti, R.; Riegler, P.; Caticha, N.  ...  In this framework only the latest from a sequence of examples is used for updating the network parameters.  ... 
doi:10.1209/epl/i1997-00167-2 fatcat:ptwdlugqgzg3riok4rxknq66aa

Isomorphisms in Multilayer Networks [article]

Mikko Kivelä, Mason A. Porter
2017 arXiv   pre-print
Multilayer network isomorphisms lead naturally to defining isomorphisms in any of the numerous types of networks that can be represented as a multilayer network, and we thereby obtain isomorphisms for  ...  For example, in multilayer networks with a single aspect, permuting vertex labels, layer labels, and both vertex labels and layer labels each yield different isomorphism relations between multilayer networks  ...  multilayer-network framework.  ... 
arXiv:1506.00508v3 fatcat:snqq5ota4zhmdpu7mercgolw6q

Isomorphisms in Multilayer Networks

Mikko Kivela, Mason A. Porter
2018 IEEE Transactions on Network Science and Engineering  
Defining isomorphisms for multilayer networks yields isomorphism relations for each of the wide variety of network types that can be expressed using a multilayernetwork framework.  ...  We now show how to formulate the multilayer-network isomorphism problem in terms of permutation groups, and This is the author's version of an article that has been published in this journal.  ...  It is interesting to examine how multilayer network architectures affect structural features such as the graph symmetries.  ... 
doi:10.1109/tnse.2017.2753963 fatcat:hmkh5q2s6fa57aeqidbgnog5fy

Multilayer Networks in a Nutshell

Alberto Aleta, Yamir Moreno
2018 Annual Review of Condensed Matter Physics  
To account for this source of complexity, a more general framework, in which different networks evolve or interact with each other, is needed. These are known as multilayer networks.  ...  Here we provide an overview of the basic methodology used to describe multilayer systems as well as of some representative dynamical processes that take place on top of them.  ...  Multilayer Networks and the Human Brain The traditional tools used to analyze the architecture of the human brain have been focused on single scales. Following Betzel et al.  ... 
doi:10.1146/annurev-conmatphys-031218-013259 fatcat:sjpyl3vih5h6tc5makibpyhdb4

The multilayer nature of ecological networks

Shai Pilosof, Mason A. Porter, Mercedes Pascual, Sonia Kéfi
2017 Nature Ecology & Evolution  
The emergent field of 'multilayer networks' provides a natural framework for extending analyses of ecological systems to include such multiple layers of complexity, as it specifically allows one to differentiate  ...  architecture and dynamics of ecological systems.  ...  Future directions and applications We have argued that multilayer networks provide a versatile and powerful framework for investigations of community ecology.  ... 
doi:10.1038/s41559-017-0101 pmid:28812678 fatcat:cnmhpf7wurdrtcnr23j4vael5q

Multilayer Network Analytics With SDN-Based Monitoring Framework

Shuangyi Yan, Alejandro Aguado, Yanni Ou, Rui Wang, Reza Nejabati, Dimitra Simeonidou
2017 Journal of Optical Communications and Networking  
Thus, we propose an SDN-based monitoring framework that expands network analytics to a converged packet and optical network.  ...  The developed network applications on top of SDN controller process all the collected monitoring information and enables multilayer network analytics based the SDN-based monitoring framework.  ...  ARCHITECTURE OF SDN-BASED OPTICAL NETWORK ANALYTICS FRAMEWORK The architecture provides a generic methodology that enables network diagnostic tool with multilayer monitoring technologies.  ... 
doi:10.1364/jocn.9.00a271 fatcat:ybfktm2e7jcbhebwsufkon437a
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