Big Data and Computational Intelligence in Networking

Inbunden, Engelska, 2017

Av Yulei Wu, Fei Hu, Geyong Min, Albert Y. Zomaya

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This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.

Produktinformation

Utgivningsdatum2017-12-27
Mått156 x 234 x 36 mm
Vikt900 g
FormatInbunden
SpråkEngelska
Antal sidor546
FörlagTaylor & Francis Inc
ISBN9781498784863

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Dr. Yulei Wu is a Lecturer in Computer Science at the University of Exeter. He received his Ph.D. degree in Computing and Mathematics and B.Sc. (First Class Hons) degree in Computer Science from the University of Bradford, UK, in 2010 and 2006, respectively. His main research focuses on Big Data, Future Internet Architecture, Wireless Networks and Mobile Computing, Cloud Computing, and Performance Modelling and Analysis. Before joining the University of Exeter, he was working as an Associate Professor in the Chinese Academy of Sciences (CAS). During his stay in CAS, he mainly worked in the field of Internet Architecture and Big Data. He was the Principal Investigator of a National Natural Science Foundation of China (NFSC) project on Content Delivery Networks, and was the Co-Investigator of a National High-tech R&D ("863") project on Virtual Router, a National Key Technologies R&D project on IPv6, and a CAS Strategic Priority Research project on Future Internet Research Testbed. Dr. Fei Hu is currently a professor in the Department of Electrical and Computer Engineering at the University of Alabama (main campus), Tuscaloosa, Alabama, USA. He obtained his Ph.D. degrees at Tongji University (Shanghai, China) in the field of Signal Processing (in 1999), and at Clarkson University (New York, USA) in the field of Electrical and Computer Engineering (in 2002). He has published over 200 journal/conference papers, books, and book chapters. Dr. Hu's research has been supported by U.S. National Science Foundation (NSF), U.S. Department of Defense (DoD), Cisco, Sprint, and other sources. He has chaired a few international conferences. His research interests are 3S - Security, Signals, Sensors: (1) Security: This is about how to overcome different cyber attacks in a complex wireless or wired network. Recently he focuses on cyber-physical system security and medical security issues. (2) Signals: This mainly refers to intelligent signal processing, that is, using machine learning algorithms to process sensing signals in a smart way in order to extract patterns (i.e., achieve pattern recognition). (3) Sensors: This includes micro-sensor design and wireless sensor networking issues.

PART I: BASICS OF NETWORKED BIG DATA1. A Survey of Big Data and Computational Intelligence In NetworkingYujia Zhu, Yulei Wu, Geyong Min, Albert Zomaya, and Fei Hu2. Some Mathematical Properties of Networks for Big DataMarcello Trovati3. Big Geospatial Data and the Geospatial Semantic Web: Current State and Future OpportunitiesChuanrong Zhang, Tian Zhao, and Weidong Li4. Big Data over Wireless Networks (WiBi)Immanuel Manohar and Fei HuPART II: NETWORK ARCHITECTURE FOR BIG DATA TRANSMISSIONS5. Efficient Big Data Transfer Using Bandwidth Reservation Service In High-Performance NetworksLiudong Zuo and Michelle Mengxia Zhu6. A Dynamic Cloud Computing Architecture for Cloud-Assisted Internet of Things in the Era of Big DataMehdi Bahrami and Mukesh Singhal7. Bicriteria Task Scheduling and Resource Allocation for Streaming Big Data Processing in Geo-Distributed CloudsDeze Zeng, Chengyu Hu, Guo Ren, and Lin GuPART III: ANALYSIS AND PROCESSING OF NETWORKED BIG DATA8. The ADMM and Its Application to Network Big DataNan Lin and Liqun Yu9. Hyperbolic Big Data Analytics for Dynamic Network Management and OptimizationVasileios Karyotis and Eleni Stai10. Predictive Analytics for Network Big Data Using Knowledge-Based Reasoning for Smart Retrieval of Data, Information, Knowledge, and Wisdom (DIKW)Aziyati Yusoff, Norashidah Md. Din, Salman Yussof, Assad Abbas, and Samee U. Khan11. Recommendation SystemsJoonseok Lee12. Coordinate Gradient Descent MethodsIon Necoara13. Data Locality and Dependency for MapReduceXiaoqiang Ma, Xiaoyi Fan, and Jiangchuan Liu14. Distributed Machine Learning for Network Big DataSeunghak Lee15. Big Data Security: Toward a Hashed Big GraphYu Lu and Fei HuPART IV: EMERGING APPLICATIONS OF NETWORKED BIG DATA16. Mobile Augmented Reality to Enable Intelligent Mall Shopping By Network DataVincent W. Zheng and Hong Cao17. Toward Practical Anomaly Detection in Network Big DataChengqiang Huang, Yulei Wu, Zuo Yuan, and Geyong Min18. Emerging Applications of Spatial Network Big Data In TransportationReem Y. Ali, Venkata M.V. Gunturi, Zhe Jiang, and Shashi Shekhar19. On Emerging Use Cases and Techniques in Large Networked Data in Biomedical and Social Media DomainVishrawas Gopalakrishnan and Aidong Zhang20. Big Data Analysis for Smart ManufacturingZ. Y. Liu and Y. B. Guo