Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques (Computer Communications and Networks)

Florin Pop

ISBN 10: 3319448803 / ISBN 13: 9783319448800

Published by Springer, 2016

About this Item

Gebraucht - Sehr gut - ungelesen,als Mängelexemplar gekennzeichnet, mit leichten Mängeln an Schnitt oder Umschlag durch Lager- oder Transportschaden -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 529 pp. Englisch.

Seller Inventory # INF1000190057

Bibliographic Details

• Title: Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques (Computer Communications and Networks)
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 3319448803
• ISBN 13: 9783319448800
• Binding: Gebundene Ausgabe
• Condition: Sehr gut
• Dust Jacket Condition: Dust Jacket Included
• Dimensions: 24.2W x 16.2H x 3D centimeters 24.2 centimeters width by 16.2 centimeters height by 3 centimeters depth
• Weight: 1011 grams

About this title

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 the Author

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.