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Can I read Networking for Big Data on EtoBox?

Networking for Big Data by Lin, Xiaodong; Mišić, Jelena; Shen, Xuemin; Yu, Shui is a nonfiction available to read on EtoBox.

What is Networking for Big Data about?

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 secu

Who reads Networking for Big Data?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Lin, Xiaodong; Mišić, Jelena; Shen, Xuemin; Yu, Shui
Publisher
CRC Press, Taylor & Francis Group
Published
2016
Language
EN
ISBN
9781482263497
Category
nonfiction
Subjects
Science, Programming, Computer Science

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