Resource Management for Big-Data Platforms. Algorithms, Modelling, and High-Performance Computing Techniques.
Pop, F. et al. (eds.)
ISBN 10: 3319448803 ISBN 13: 9783319448800
Editore: Cham, Springer International Publishing/Springer., 2016
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Descrizione:
1st ed. 2016. 23.5 cm x 15.5 cm, 0 g. XIV, 522 p. Hardcover. Computer Communications and Networks. Sprache: Englisch. Codice articolo 8231BB
Riassunto:
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.
Informazioni sull?autore:
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 Kolodziej 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.
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Dati bibliografici
Titolo: Resource Management for Big-Data Platforms. ...
Casa editrice: Cham, Springer International Publishing/Springer.
Data di pubblicazione: 2016
Legatura: Rilegato
Edizione: prima edizione