Grid and Cloud Database Management
Since the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer power as easily as we can access the electric power grid. Later on, Cloud Computing brought the promis...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Open Standards and Specifications
- 1. Open Standards for Service-based Database Access and Integration
- 2. Open Cloud Computing Interface in Data Management-related Setups
- Research Efforts on Grid Database Management
- 3. The GRelC Project from 2001 to 2011, Ten Years Working on Grid-DBMSs
- 4. Distributed Data Management with OGSA-DAI
- 5. The DASCOSA-DB Grid Database System
- Cloud Data Management
- 6. Access Control and Trustiness for Resource Management in Cloud Databases
- 7. Dirty Data Management in Cloud Database
- 8. Virtualization and Column-oriented Database Systems
- 9. Scientific Computation and Data Management using Microsoft Windows Azure
- 10. The Cloud Miner Moving Data Mining into Computational Clouds
- 11. Provenance Support for Data-Intensive Scientific Workflows
- 12. Managing Data-Intensive Workloads in a Cloud
- Scientific Case Studies
- 13. Managing and Analysing Genomic Data using HPC and Clouds
- 14. Grid Technologies for Satellite Data Processing and Management within International Disaster Monitoring Projects
- 15. Transparent Data Cube for Spatio-temporal Data Mining and Visualization
- 16. Distributed Storage of Large Scale Multidimensional Electroencephalogram Data using Hadoop and HBase.
