Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques

Author:   Florin Pop ,  Joanna Kołodziej ,  Beniamino Di Martino
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319448800


Pages:   516
Publication Date:   04 November 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques


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Author:   Florin Pop ,  Joanna Kołodziej ,  Beniamino Di Martino
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 3.20cm , Length: 23.50cm
Weight:   1.196kg
ISBN:  

9783319448800


ISBN 10:   3319448803
Pages:   516
Publication Date:   04 November 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Performance Modeling of Big Data Oriented Architectures.- Workflow Scheduling Techniques for Big Data Platforms.- Cloud Technologies: A New Level for Big Data Mining.- Agent Based High-Level Interaction Patterns for Modeling Individual and Collective Optimizations Problems.- Maximize Profit for Big Data Processing in Distributed Datacenters.- Energy and Power Efficiency in the Cloud.- Context Aware and Reinforcement Learning Based Load Balancing System for Green Clouds.- High-Performance Storage Support for Scientific Big Data Applications on the Cloud.- Information Fusion for Improving Decision-Making in Big Data Applications.- Load Balancing and Fault Tolerance Mechanisms for Scalable and Reliable Big Data Analytics.- Fault Tolerance in MapReduce: A Survey.- Big Data Security.- Big Biological Data Management.- Optimal Worksharing of DNA Sequence Analysis on Accelerated Platforms.- Feature Dimensionality Reduction for Mammographic Report Classification.- Parallel Algorithms for Multi-Relational Data Mining: Application to Life Science Problems.- Parallelization of Sparse Matrix Kernels for Big Data Applications.- Delivering Social Multimedia Content with Scalability.- A Java-Based Distributed Approach for Generating Large-Scale Social Network Graphs.- Predicting Video Virality on Twitter.- Big Data uses in Crowd Based Systems.- Evaluation of a Web Crowd–Sensing IoT Ecosystem Providing Big Data Analysis.- A Smart City Fighting Pollution by Efficiently Managing and Processing Big Data from Sensor Networks.

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Author Information

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.

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