Resource Management for Big Data Platforms - Algorithms, Modelling, and High-Performance Computing Techniques (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Computer Communications and Networks
Release date:	November 2016
First published:	2016
Editors:	Florin Pop • Joanna Kolodziej • Beniamino Di Martino
Dimensions:	235 x 155 x 31mm (L x W x T)
Format:	Hardcover
Pages:	516
Edition:	1st ed. 2016
ISBN-13:	978-3-319-44880-0
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Computing & IT > Applications of computing > Databases > General
LSN:	3-319-44880-3
Barcode:	9783319448800

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