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Resource Management for Big Data Platforms

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Resource Management for Big Data Platforms Synopsis

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 This Edition

ISBN: 9783319831558
Publication date:
Author: Florin Pop, Joanna Kolodziej, Beniamino Di Martino
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 516 pages
Series: Computer Communications and Networks
Genres: Network hardware
Computer modelling and simulation
Computer hardware
Databases