Networking for Big Data: 1st Edition (Hardback) book cover

Networking for Big Data

1st Edition

Edited by Shui Yu, Xiaodong Lin, Jelena Misic, Xuemin (Sherman) Shen

Chapman and Hall/CRC

432 pages | 159 B/W Illus.

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Paperback: 9780367377533
pub: 2019-07-31
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Hardback: 9781482263497
pub: 2015-08-03
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pub: 2015-07-28
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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.


"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

Table of Contents


Orchestrating Science DMZs for Big Data Acceleration: Challenges and Approaches; Saptarshi Debroy and Prasad Calyam

A Survey of Virtual Machine Placement in Cloud Computing for Big Data;Yang Wang, Jie Wu, Shaojie Tang, and Wu Zhang

Big Data Management Challenges, Approaches, Tools, and Their Limitations;Michel Adiba, Juan Carlos Castrejón, Javier A. Espinosa-Oviedo, Genoveva Vargas-Solar, and José-Luis Zechinelli-Martini

Big Data Distributed Systems Management; Rashid Saeed


Moving Big Data to the Cloud: Online Cost-Minimizing Algorithms;Linquan Zhang, Chuan Wu, Zongpeng Li, Chuanxiong Guo, Minghua Chen, and Francis C. M. Lau

Data Process and Analysis Technologies of Big Data;Peter Wlodarczak, Mustafa Ally, and Jeffrey Soar

Network Configuration and Flow Scheduling for Big Data Applications;Jerome Francois and Raouf

Speedup of Big Data Transfer on the Internet;Guangyan Huang, Wanlei Zhou, and Jing He

Energy Aware Survivable Routing in Ever-Escalating Data Environments; Bing Luo, William Liu, and Adnan Al-Anbuky


A Review of Network Intrusion Detection in the Big Data Era: Challenges and Future Trends;Weizhi Meng and Wenjuan Li

Toward MapReduce-Based Machine Learning Techniques for Processing Massive Network Threat Monitoring; Linqiang Ge, Hanling Zhang, Guobin Xu, Wei Yu, Chen Chen, and Erik Blasch

Anonymous Communication for Big Data; Rongxin Lu

Flow-Based Anomaly Detection in Big Data; Zahra Jadidi, Vallipuram Muthukkumarasamy, Elankayer Sithirasenan, and Kalvinder Singh


Mining Social Media with SDN-Enabled Big Data Platform to Transform TV Watching Experience;Yonggang Wen

Trends in Cloud Infrastructures for Big Data;Yacine Djemaiel

A User Data Profile-Aware Policy-Based Network Management Framework in the Era of Big Data;Fadi Alhaddadin, William Liu, and Jairo A. Gutiérrez

Circuit Emulation for Big Data Transfers in Clouds;Marat Zhanikeev


About the Editors

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

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Database Management / Data Mining
COMPUTERS / Machine Theory
COMPUTERS / Networking / General