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Cloud Networking for Big Data
Details
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.
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
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319247182
- Herausgeber Springer International Publishing
- Anzahl Seiten 116
- Lesemotiv Verstehen
- Genre IT Encyclopedias
- Auflage 1st edition 2015
- Gewicht 348g
- Untertitel Wireless Networks
- Größe H241mm x B160mm x T13mm
- Jahr 2015
- EAN 9783319247182
- Format Fester Einband
- ISBN 3319247182
- Veröffentlichung 15.12.2015
- Titel Cloud Networking for Big Data
- Autor Deze Zeng , Song Guo , Lin Gu
- Sprache Englisch