Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Computer Communications and Networks (CCN)
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Table of contents (23 chapters)
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Front Matter
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Architecture of Big Data Platforms and Applications
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Front Matter
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Big Data Analysis
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Front Matter
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Biological and Medical Big Data Applications
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Front Matter
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Keywords
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.
Editors and Affiliations
About the editors
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.
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
DOI: https://doi.org/10.1007/978-3-319-44881-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2016
Hardcover ISBN: 978-3-319-44880-0Published: 04 November 2016
Softcover ISBN: 978-3-319-83155-8Published: 16 June 2018
eBook ISBN: 978-3-319-44881-7Published: 27 October 2016
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: XIII, 516
Number of Illustrations: 81 b/w illustrations, 57 illustrations in colour
Topics: Computer Communication Networks, Simulation and Modeling, Performance and Reliability, Database Management