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Yong Xiang
Researcher at Deakin University
Publications - 338
Citations - 9142
Yong Xiang is an academic researcher from Deakin University. The author has contributed to research in topics: Blind signal separation & Digital watermarking. The author has an hindex of 41, co-authored 325 publications receiving 6058 citations. Previous affiliations of Yong Xiang include Sichuan University & University of Melbourne.
Papers
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Journal ArticleDOI
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
Ranesh Kumar Naha,Saurabh Garg,Dimitrios Georgakopoulos,Prem Prakash Jayaraman,Longxiang Gao,Yong Xiang,Rajiv Ranjan +6 more
TL;DR: This survey will help the industry and research community synthesize and identify the requirements for Fog computing and present some open issues, which will determine the future research direction for the Fog computing paradigm.
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Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives
TL;DR: There are essential and urgent needs to raise the awareness and call for attentions on how to innovate and energize ICTs in order to best assist all nations to achieve the SDGs by 2030.
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Network Traffic Classification Using Correlation Information
TL;DR: A novel nonparametric approach for traffic classification is proposed which can improve the classification performance effectively by incorporating correlated information into the classification process and its performance benefit from both theoretical and empirical perspectives.
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Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System
TL;DR: Fog computation and MCPS are integrated to build fog computing supported MCPS (FC-MCPS), and an LP-based two-phase heuristic algorithm is proposed that produces near optimal solution and significantly outperforms a greedy algorithm.
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A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies
TL;DR: An introduction and the motivation to the evolution from smart grid to EI are presented and a representative EI architecture is introduced, i.e., the future renewable electric energy delivery and management system.