Cloud Networking for Big Data

✍ Scribed by Deze Zeng, Lin Gu, Song Guo (auth.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 114
• Series: Wireless Networks
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Background Introduction....Pages 3-16
Fundamental Concepts....Pages 17-31
Cloud Networking....Pages 33-56
Front Matter....Pages 57-57
Cost Minimization for Big Data Processing in Geo-Distributed Data Centers....Pages 59-78
A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-Distributed Data Centers....Pages 79-100
Conclusion....Pages 101-102

✦ Subjects

Computer Communication Networks; Database Management