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Cloud Networking for Big Data
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SpringerLink (Online service)
Cloud Networking for Big Data
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Cloud Networking for Big Data/ by Deze Zeng, Lin Gu, Song Guo.
Author:
Zeng, Deze.
other author:
Gu, Lin.
Description:
XIV, 102 p. 37 illus., 1 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computer communication systems. -
Online resource:
https://doi.org/10.1007/978-3-319-24720-5
ISBN:
9783319247205
Cloud Networking for Big Data
Zeng, Deze.
Cloud Networking for Big Data
[electronic resource] /by Deze Zeng, Lin Gu, Song Guo. - 1st ed. 2015. - XIV, 102 p. 37 illus., 1 illus. in color.online resource. - Wireless Networks,2366-1186. - Wireless Networks,.
Networking Evolution towards Cloud Networking -- Background Introduction -- Fundamental Concepts -- Cloud Networking -- Cost Efficient Big Data Processing in Cloud Networking enabled Data Centers -- Cost Minimization for Big Data Processing in Geo-Distributed Data Centers -- A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-distributed Data Centers -- Conclusion and Future Work.
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. .
ISBN: 9783319247205
Standard No.: 10.1007/978-3-319-24720-5doiSubjects--Topical Terms:
1115394
Computer communication systems.
LC Class. No.: TK5105.5-5105.9
Dewey Class. No.: 004.6
Cloud Networking for Big Data
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Networking Evolution towards Cloud Networking -- Background Introduction -- Fundamental Concepts -- Cloud Networking -- Cost Efficient Big Data Processing in Cloud Networking enabled Data Centers -- Cost Minimization for Big Data Processing in Geo-Distributed Data Centers -- A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-distributed Data Centers -- Conclusion and Future Work.
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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. .
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Computer Science (R0) (SpringerNature-43710)
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