Vor Ort
Merkzettel Warenkorb
  • Produktbild: Handbook of Data Intensive Computing
  • Produktbild: Handbook of Data Intensive Computing
  • Produktbild: Handbook of Data Intensive Computing

Handbook of Data Intensive Computing

107,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.03.2014

Herausgeber

Borko Furht + weitere

Verlag

Springer Us

Seitenzahl

794

Maße (L/B/H)

23,5/15,5/4,4 cm

Gewicht

1206 g

Auflage

2011

Sprache

Englisch

ISBN

978-1-4899-9919-1

Beschreibung

Rezension

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 Australia. … The editors make readers aware of the scale of data generated from a variety of sources, which require immediate comprehensive analyses. … The value of this book might be in collecting papers that focused on the issues of big data, so interested parties can have a handy overview of related problems and prospective solutions.” (Janusz Zalewski, ACM Computing Reviews, September, 2012)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.03.2014

Herausgeber

Verlag

Springer Us

Seitenzahl

794

Maße (L/B/H)

23,5/15,5/4,4 cm

Gewicht

1206 g

Auflage

2011

Sprache

Englisch

ISBN

978-1-4899-9919-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Handbook of Data Intensive Computing
  • Produktbild: Handbook of Data Intensive Computing
  • Produktbild: Handbook of Data Intensive Computing
  • 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 RankingMethods 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.