Networking for big data

✍ Scribed by Lin, Xiaodong; Mišić, Jelena; Shen, Xuemin; Yu, Shui

• Publisher: CRC Press
• Year: 2016
• Tongue: English
• Leaves: 418
• Series: Chapman & Hall/CRC big data series
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Content: INTRODUCTION OF BIG DATA 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 Castrejon, Javier A. Espinosa-Oviedo, Genoveva Vargas-Solar, and Jose-Luis Zechinelli-Martini Big Data Distributed Systems Management
Rashid Saeed NETWORKING THEORY AND DESIGN FOR BIG DATA 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 NETWORKING SECURITY FOR BIG DATA 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 PLATFORMS AND SYSTEM FOR BIG DATA APPLICATIONS 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. Gutierrez Circuit Emulation for Big Data Transfers in Clouds
Marat Zhanikeev Index

✦ Subjects

Big data. Information networks. Information storage and retrieval systems. COMPUTERS / Database Management / General