Networking for big data / edited by Shui Yu, Deakin University, Burwood, Australia, Xiaodong Lin, University of Ontario Institute of Technology, Oshawa, Ontario, Canada, Jelena Misic, Ryerson University, Toronto, Ontario, Canada, Xuemin (Sherma

Format:

Book

Contributor:

Yu, Shui, editor.

Lin, Xiaodong, editor.

Mišić, Jelena, editor.

Shen, Xuemin (Sherman), editor.

Series:

Chapman & Hall/CRC biostatistics series.

Chapman & Hall/CRC Big Data Series

Language:

English

Subjects (All):

Big data.

Information networks.

Information storage and retrieval systems.

Physical Description:

1 online resource (416 p.)

Edition:

1st ed.

Place of Publication:

Boca Raton, Florida : CRC Press, [2016]

Language Note:

English

Summary:

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 exa

Contents:

Cover; Contents; Preface; Editors; Contributors; I: Introduction of Big Data; Chapter 1: Orchestrating Science DMZs for Big Data Acceleration: Challenges and Approaches; Chapter 2: A Survey of Virtual Machine Placement in Cloud Computing for Big Data; Chapter 3: Big Data Management Challenges, Approaches, Tools, and Their Limitations; Chapter 4: Big Data Distributed Systems Management; II: Networking Theory and Design for Big Data; Chapter 5: Moving Big Data to the Cloud: Online Cost-Minimizing Algorithms; Chapter 6: Data Process and Analysis Technologies of Big Data

Chapter 7: Network Configuration and Flow Scheduling for Big Data ApplicationsChapter 8: Speedup of Big Data Transfer on the Internet; Chapter 9: Energy-Aware Survivable Routing in Ever-Escalating Data Environments; III: Networking Security for Big Data; Chapter 10: A Review of Network Intrusion Detection in the Big Data Era: Challenges and Future Trends; Chapter 11: Toward MapReduce-Based Machine-Learning Techniques for Processing Massive Network Threat Monitoring; Chapter 12: Anonymous Communication for Big Data; Chapter 13: Flow-Based Anomaly Detection in Big Data

IV: Platforms and Systems for Big Data ApplicationsChapter 14: Mining Social Media with SDN-Enabled Big Data Platform to Transform TV Watching Experience; Chapter 15: Trends in Cloud Infrastructures for Big Data; Chapter 16: A User Data Profile-Aware Policy-Based Network Management Framework in the Era of Big Data; Chapter 17: Circuit Emulation for Big Data Transfers in Clouds

Notes:

A Chapman and Hall book--title page.

Includes bibliographical references.

Description based on online resource; title from PDF title page (ebrary, viewed August 5, 2015).

ISBN:

9781040070697

1040070698

9780429156892

0429156898

9781482263503

1482263505

OCLC:

915134676