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Handbook of Data Intensive Computing / edited by Borko Furht, Armando Escalante.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Database management.
- Data structures (Computer science).
- Information technology.
- Business--Data processing.
- Business.
- Computers, Special purpose.
- Computer architecture.
- Application software.
- Database Management.
- Data Storage Representation.
- IT in Business.
- Special Purpose and Application-Based Systems.
- Computer System Implementation.
- Computer Applications.
- Local Subjects:
- Database Management.
- Data Storage Representation.
- IT in Business.
- Special Purpose and Application-Based Systems.
- Computer System Implementation.
- Computer Applications.
- Physical Description:
- 1 online resource (XVIII, 794 pages)
- Edition:
- First edition 2011.
- Contained In:
- Springer eBooks
- Place of Publication:
- New York, NY : Springer New York : Imprint: Springer, 2011.
- System Details:
- text file PDF
- Contents:
- 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. .
- Other Format:
- Printed edition:
- ISBN:
- 978-1-4614-1415-5
- 9781461414155
- Access Restriction:
- Restricted for use by site license.
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