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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| Other Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press, Taylor & Francis Group
[2016]
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| Series: | Chapman & Hall/CRC big data series
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| Subjects: | |
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Table of Contents:
- 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


