Networking for big data

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 div...

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Bibliographic Details
Other Authors: Yu, Shui (Editor), Lin, Xiaodong (Editor), Shen, Xuemin (Sherman) (Editor)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press, Taylor & Francis Group [2016]
Series:Chapman & Hall/CRC big data series
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090 |a HD 30.215  |b .N489 2016 
245 0 0 |a Networking for big data  |c edited by Shui Yu, Xiaodong Lin, Jelena Misic, Xuemin (Sherman) Shen 
264 1 |a Boca Raton, FL  |b CRC Press, Taylor & Francis Group  |c [2016] 
264 4 |c © 2016 
300 |a xxii, 392 pages  |b illustrations  |c 26 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
490 1 |a Chapman & Hall/CRC big data series 
500 |a "A Chapman & Hall book" 
504 |a Includes bibliographical references and index 
505 0 |a 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 Applications -- Chapter 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 Trend-- 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 Applications -- Chapter 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 
520 |a 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 
592 |a IN/11523  |b 03/03/2016  |c RM 400.00  |h Innowawasan 
592 |a 32573  |b 6/12/2016  |c RM 358.80  |h Bookline 
650 0 |a Big data 
650 0 |a Information networks 
650 0 |a Information storage and retrieval systems 
700 1 |a Yu, Shui  |e editor 
700 1 |a Lin, Xiaodong  |e editor 
700 1 |a Shen, Xuemin (Sherman)  |e editor 
830 0 |a Chapman & Hall/CRC big data series 
999 |a vtls000056045  |c 98377  |d 98377