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Resource Management for Big Data Platforms: Algorithms, Modelling, and High-performance Computing Techniques - Couverture souple
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.
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À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Resource Management for Big Data Platforms : Algorithms, Modelling, and High-Performance Computing Techniques
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319831550
ISBN 13 : 9783319831558
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Couverture souple
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 532 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 29464250/1
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Resource Management for Big Data Platforms
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319831550
ISBN 13 : 9783319831558
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive overview of the development of RMS for big data platforms and applications, covering theory, methodologies, experimentation, and real-world applicationsPresents state-of-the-art solutions for issues of big data processing,. N° de réf. du vendeur 458623503
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Resource Management for Big Data Platforms : Algorithms, Modelling, and High-Performance Computing Techniques
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319831550
ISBN 13 : 9783319831558
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319831558
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Resource Management for Big Data Platforms
Edité par
Springer International Publishing Jun 2018, 2018
ISBN 10 : 3319831550
ISBN 13 : 9783319831558
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 532 pp. Englisch. N° de réf. du vendeur 9783319831558
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Resource Management for Big Data Platforms
ISBN 10 : 3319831550
ISBN 13 : 9783319831558
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 532 pp. Englisch. N° de réf. du vendeur 9783319831558
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Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques (Computer Communications and Networks)
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Etat : New. pp. 529. N° de réf. du vendeur 26383828004
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Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques (Computer Communications and Networks)
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. 529. N° de réf. du vendeur 379027451
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Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques (Computer Communications and Networks)
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques (Computer Communications and Networks)
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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