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Cloud Networking for Big Data

  • Book
  • © 2015

Overview

  • Introduces basic big data processing paradigms and key cloud networking technologies
  • Provides case studies with practical applications
  • Explains emerging technologies in a clear, concise way

Part of the book series: Wireless Networks (WN)

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Table of contents (6 chapters)

  1. Network Evolution Towards Cloud Networking

  2. Cost Efficient Big Data Processing in Cloud Networking Enabled Data Centers

Keywords

About this book

This book introduces two basic big data processing paradigms for batch data and streaming data.  Representative programming frameworks are also presented, as well as software defined networking (SDN) and network function virtualization (NFV) technologies as key cloud networking technologies.

The authors illustrate that SDN and NFV can be applied to benefit the big data processing by proposing a cloud networking framework. Based on the framework, two case studies examine how to improve the cost efficiency of big data processing.

Cloud Networking for Big Data

targets professionals and researchers working in big data, networks, wireless communications and information technology.   Advanced-level students studying computer science and electrical engineering will also find this book valuable as a study guide. 

Authors and Affiliations

  • China University of Geosciences, Wuhan, China

    Deze Zeng

  • Huazhong University of Science and Tech, Wuhan, China

    Lin Gu

  • The Univ of Aizu Schl of Comp Science & Engg, Aizu-Wakamatsu City, Japan

    Song Guo

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