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Handbook of data intensive computing

Autor: Borivoje Furht; Armando Escalante
Editorial: New York : Springer, ©2011.
Edición/Formato:   Libro-e : Documento : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:

Data-intensive computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. This volume of expert commentary  Leer más

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Detalles

Género/Forma: Electronic books
Formato físico adicional: Printed edition:
Tipo de material: Documento, Recurso en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Borivoje Furht; Armando Escalante
ISBN: 9781461414155 1461414156
Número OCLC: 769756136
Descripción: 1 online resource (xviii, 793 pages) : illustrations (some color)
Contenido: PART I ARCHITECTURES AND SYSTEMS --
High Performance Network Architectures for Data Intensive Computing --
Architecting Data-Intensive Software Systems --
ECL: A High-Level Programming Language for Data-Intensive Supercomputing --
Scalable Storage for Data-Intensive Computing --
Computation and Storage Trade-off for Cost-Effective Storage of Scientific Datasets in the Cloud --
PART II TECHNOLOGIES AND TECHNIQUES --
Load Balancing Techniques for Data Intensive Computing --
Resource Management for Data Intensive Clouds Through Dynamic Federation: A Game Theoretic Approach --
SALT: Scalable Automated Linking Technology for Data Intensive Computing --
Parallel Processing, Multiprocessors and Virtualization in Data-Intensive Computing --
Challenges in Data Intensive Analysis and Visualization at Scientific Experimental User Facilities --
Large-Scale Data Analytics Using Ensemble Clustering --
Specification of Data Intensive Applications with Data Dependency and Abstract Clocks --
Ensemble Feature Ranking Methods for Data Intensive Computing Applications --
Record Linkage Methodology and Applications --
Semantic Wrapper: Concise Semantic Querying of Legacy Relational Databases --
PART III SECURITY --
Security in Data Intensive Computing Systems --
Data Security and Privacy in Data-Intensive Supercomputing Clusters --
Information Security in Large Scale Distributed Systems --
Privacy and Security Requirements of Data Intensive Applications in Clouds --
PART IV APPLICATIONS --
On the Processing of Extreme Scale Datasets in the Geosciences --
Parallel Earthquake Simulations on Large-scale Multicore Supercomputers --
Data Intensive Computing in Bioinformatics: A Biomedical Case Study in Gene Selection and Filtering --
Design Space Exploration for Efficient Data Intensive Computing on SoCs --
Discovering Relevant Entities in Large-scale Social Information Systems.-Geospatial Data Management with Terrafly --
An Application for Processing Large and Non-uniform Media Objects on MapReduce-based Clusters --
Feature Selection Algorithms for Mining High-Dimensional DNA Microarray Data --
Application of Random Matrix Theory to Analyze Biological Data --
Keyword Search on Large Relational Databases: an OLAP-Oriented Approach --
A Distributed Publish/Subscribe System for Large Scale Sensor Networks.
Responsabilidad: Borko Furht, Armando Escalante, editors.
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From the reviews: "The material is written by experts from nearly 40 institutions, including academia, industry, and government; they are mostly from the US, but also from Europe, Asia, and Leer más

 
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Datos enlazados


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