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Big Data & Advanced Analytics for Future Wireless Networks

Big data today is a reality. Networks service providers that want to be innovative and maximize their revenue potential must have the right solution in place so that they can harness the volume, variety, and velocity of data coming into their networks and leverage actionable insight from that data. Big data brings new traffic and performance related challenges and calls for a deep revisit of the methodological tools that were traditionally used for performance evaluation and traffic engineering. New models and approaches are needed to investigate big data characteristics in terms of volume, velocity and variability and their impact on network performance; new solutions have to be designed to efficiently and securely manage information; new techniques are needed to support all phases of network planning, design and optimization.

Edited by: Zhenjiang Zhang, Pony Chu, Lorna Uden and Dalin Zhang

  1. Research

    VSTP: vessel spatio-temporal contact pattern detection based on MapReduce

    Due to lack of the coverage of 3G/4G network, satellite communication which costs excessively is the main approach used in ocean to provide network service. Ocean mobile delay tolerant network (OMDTN) can prov...

    Chao Liu, Zhongwei Sun, Jing Liu, Haiguang Huang, Zhongwen Guo and Yuan Feng

    EURASIP Journal on Wireless Communications and Networking 2017 2017:175

    Published on: 30 October 2017

  2. Research

    A feature selection method based on synonym merging in text classification system

    As an important step in natural language processing (NLP), text classification system has been widely used in many fields, like spam filtering, news classification, and web page detection. Vector space model (...

    Haipeng Yao, Chong Liu, Peiying Zhang and Luyao Wang

    EURASIP Journal on Wireless Communications and Networking 2017 2017:166

    Published on: 5 October 2017