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Cloud Networking for Big Data

  • Deze Zeng
  • Lin Gu
  • Song Guo

Part of the Wireless Networks book series (WN)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Network Evolution Towards Cloud Networking

    1. Front Matter
      Pages 1-1
    2. Deze Zeng, Lin Gu, Song Guo
      Pages 3-16
    3. Deze Zeng, Lin Gu, Song Guo
      Pages 17-31
    4. Deze Zeng, Lin Gu, Song Guo
      Pages 33-56
  3. Cost Efficient Big Data Processing in Cloud Networking Enabled Data Centers

    1. Front Matter
      Pages 57-57
    2. Deze Zeng, Lin Gu, Song Guo
      Pages 101-102

About this book

Introduction

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. 

Keywords

Big data Cloud Networking Cloud Network Framework Software-Defined Networking Network Function Virtualization Big Data Processing Data Center Networks Cost Efficiency Optimization Streaming Data Geo-Distributed Data Centers

Authors and affiliations

  • Deze Zeng
    • 1
  • Lin Gu
    • 2
  • Song Guo
    • 3
  1. 1.China University of GeosciencesWuhanChina
  2. 2.Huazhong University of Science and TechWuhanChina
  3. 3.The Univ of Aizu Schl of Comp Science & EnggAizu-Wakamatsu CityJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-24720-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-24718-2
  • Online ISBN 978-3-319-24720-5
  • Series Print ISSN 2366-1186
  • Series Online ISSN 2366-1445
  • Buy this book on publisher's site
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