Computer Communications and Networks

Resource Management for Big Data Platforms

Algorithms, Modelling, and High-Performance Computing Techniques

Editors: Pop, Florin, Kołodziej, Joanna, Di Martino, Beniamino (Eds.)

  • Provides a comprehensive overview of the development of RMS for big data platforms and applications, covering theory, methodologies, experimentation, and real-world applications
  • Presents state-of-the-art solutions for issues of big data processing, resource and data management, fault tolerance, monitoring and controlling, and security
  • Discusses the development of related programming models and technologies in information and communication, and how these help in formulating practical solutions for the topics covered
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About this book

Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

About the authors

Dr. Florin Pop is an Associate Professor in the Distributed Systems Laboratory of the Computer Science Department at the University Politehnica of Bucharest, Romania.

Dr. Joanna Kołodziej is a Professor in the Department of Computer Science at Cracow University of Technology, Poland. Amongst her recent publications are the Springer titles Intelligent Agents in Data-intensive Computing and Evolutionary Based Solutions for Green Computing.

Dr. Beniamino Di Martino is a full Professor of Information Systems at the Second University of Naples, Italy. His publications include the Springer titles Cloud Portability and Interoperability and Smart Organizations and Smart Artifacts.

Table of contents (23 chapters)

  • Performance Modeling of Big Data-Oriented Architectures

    Gribaudo, Marco (et al.)

    Pages 3-34

  • Workflow Scheduling Techniques for Big Data Platforms

    Nita, Mihaela-Catalina (et al.)

    Pages 35-53

  • Cloud Technologies: A New Level for Big Data Mining

    Medvedev, Viktor (et al.)

    Pages 55-67

  • Agent-Based High-Level Interaction Patterns for Modeling Individual and Collective Optimizations Problems

    Aversa, Rocco (et al.)

    Pages 69-81

  • Maximize Profit for Big Data Processing in Distributed Datacenters

    Bao, Weidong (et al.)

    Pages 83-95

Buy this book

eBook n/a
  • ISBN 978-3-319-44881-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-3-319-44880-0
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Resource Management for Big Data Platforms
Book Subtitle
Algorithms, Modelling, and High-Performance Computing Techniques
Editors
  • Florin Pop
  • Joanna Kołodziej
  • Beniamino Di Martino
Series Title
Computer Communications and Networks
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-44881-7
DOI
10.1007/978-3-319-44881-7
Hardcover ISBN
978-3-319-44880-0
Series ISSN
1617-7975
Edition Number
1
Number of Pages
XIII, 516
Number of Illustrations and Tables
81 b/w illustrations, 57 illustrations in colour
Topics