Resource Management for Big Data Platforms

Algorithms, Modelling, and High-Performance Computing Techniques

AvFlorin Pop,Joanna Kołodziej

Häftad, Engelska, 2018

Del i serien Computer Communications and Networks

1 640 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2018-06-16
Mått:155 x 235 x 27 mm
Vikt:894 g
Format:Häftad
Språk:Engelska
Serie:Computer Communications and Networks
Antal sidor:516
Förlag:Springer International Publishing AG
ISBN:9783319831558

Utforska kategorier

Mer om författaren

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.

Innehållsförteckning

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.