Networking for Big Data (häftad)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
432
Utgivningsdatum
2015-08-03
Förlag
Chapman & Hall/CRC
Medarbetare
Lin, Xiaodong / Misic, Jelena
Illustratör/Fotograf
black and white 159 Illustrations 97 equations 18 Tables black and white
Illustrationer
97 equations; 18 Tables, black and white; 159 Illustrations, black and white
Dimensioner
257 x 180 x 28 mm
Vikt
922 g
Antal komponenter
1
Komponenter
68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam
ISBN
9781482263497

Networking for Big Data

Inbunden,  Engelska, 2015-08-03
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications. The book is divided into four sections: introduction to Big Data, networking theory and design for Big Data, networking security for Big Data, and platforms and systems for Big Data applications. Focusing on key networking issues in Big Data, the book explains network design and implementation for Big Data. It examines how network topology impacts data collection and explores Big Data storage and resource management. Addresses the virtual machine placement problem Describes widespread network and information security technologies for Big Data Explores network configuration and flow scheduling for Big Data applications Presents a systematic set of techniques that optimize throughput and improve bandwidth for efficient Big Data transfer on the Internet Tackles the trade-off problem between energy efficiency and service resiliency The book covers distributed Big Data storage and retrieval as well as security, trust, and privacy protection for Big Data collection, storage, and search. It discusses the use of cloud infrastructures and highlights its benefits to overcome the identified issues and to provide new approaches for managing huge volumes of heterogeneous data. The text concludes by proposing an innovative user data profile-aware policy-based network management framework that can help you exploit and differentiate user data profiles to achieve better power efficiency and optimized resource management.
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Recensioner i media

"This edited collection of contributions provides articles that explain issues surrounding big data processing, recent advancements in moving and storing big data, techniques utilizing big data to detect intrusions and securely transport information, as well as other topics such as cloud storage, data management, and analytics. The four editors are well published researchers in the field, and the contributed chapters were solicited from appropriate experts. ...The editors made a good effort to include several review articles with the appropriate level of detail. Overall, the volume will serve as a useful reference on recent advancements in the field. Summing Up: Recommended. Graduate students, researchers/faculty, and professionals/practitioners." -D. Papamichail, The College of New Jersey, Choice, May 2016

Övrig information

Shui Yu, Xiaodong Lin, Jelena Mii, Xuemin (Sherman) Shen

Innehållsförteckning

Introduction of Big Data. Networking Theory and Design for Big Data. Networking Security for Big Data. Platforms and System for Big Data Applications.