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Three Tier Fog Networks: Enabling IoT/5G for Latency Sensitive Applications

China Communications 2019年第3期16卷 1-11页

作者： Romana Shahzadi Ambreen Niaz Mudassar Ali Muhammad Naeem Joel J.P.C.Rodrigues Farhan Qamar Syed Muhammad Anwar University Engineering and Technology COMSATS University Islamabad Wah campus National Institute of Telecommunications (inatel) Instituto de Telecomunicac??es University ITMO University of Fortaleza (Unifor)

Following the progression in Internet of Things(IoT) and 5G communication networks, the traditional cloud computing model have shifted to fog computing. Fog computing provides mobile computing, network control and storage to the network edges to assist latency critical and computation-intensive applications. Moreover, security features are improved in fog paradigm by processing critical data on edge devices instead of data centres outside the control plane of users. However, fog network deployment imposes many challenges including resource allocation, privacy of users, non-availability of programming model and testing software and support for the heterogenous networks. This article highlights these challenges and their potential solutions in detail. This article also discusses threetier fog network architecture, its standardization and benefits in detail. The proposed resource allocation mechanism for three tier fog networks based on swap matching is described. Results show that by practicing the proposed resource allocation mechanism, maximum throughput with reduced latency is achieved.

关键词： cloud computing fog networks matching games internet of things

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A Preliminary Comparison of Convergent IP Networks and Future Internet Approaches

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通讯和计算机（中英文版） 2011年第11期8卷 978-987页

作者： Antonio Marcos Alberti Tania Regina Tronco Christian Esteve Rothenberg Instituto Nacional de Telecomunicacoes （inatel） Santa Rita do Sapucal CEP 37540-000 Minas Gerais Brazil Centro de Pesquisa e Desenvolvimento em Telecomunicacoes （CPqD Foundation） Campinas CEP 13086-902 Sao Paulo Brazil

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Artificial Neural Networks in Risk Management: A Bibliometric Study

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Journal of Business Administration Research 2021年第1期4卷 29-36页

作者： Breno Gontijo Tavares Carlos Eduardo Sanches da Silva Adler Diniz de Souza inatel Nacional Institute of TelecommunicationsInformation Technology and Communications CenterAv.João de Camargo510CentroZIP:37540-000Santa Rita do SapucaíMinas Gerais StateBrazil UNIFEI Secretaria de Educação Superior do Ministério da Educação(SESU/MEC)Esplanada dos MinistériosBl“L”-3ºAndarZIP:70047-900BrasíliaDistrito Federal StateBrazil UNIFEI Federal University of ItajubaInstitute of Mathematics and ComputingBPS Ave.1303PinheirinhoZIP:37.500-903ItajubaMinas Gerais StateBrazil

This study presents a bibliometric analysis of Artificial Neural Networks in Risk *** study considered articles from the *** of Knowledge and Scopus databases,Identification of publishers,countries,periodicals and the keywords most frequently *** used the CiteSpace® software to analyze this material,which provides a set of features to support bibliometrics,including the reference *** study provides data collection on Artificial Neural Networks applied to risk *** number of works identified in this study is significant,and in the last ten years,the number of citations has *** did not identify the increase in paper count within the same period.

关键词： Bibliometric study Artificial neural networks Risk management I.S.I.Web of knowledge Scopus

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