Guide to e-Science Next Generation Scientific Research and Discovery /
The way in which scientific research is carried out is undergoing a series of radical changes, worldwide, as a result of the digital revolution. However, this “Science 2.0” requires a comprehensive supporting cyber-infrastructure. This essential guidebook on e-science presents real-world examples of...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
London :
Springer London,
2011.
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| Σειρά: | Computer Communications and Networks,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Part I: Sharing and Open Research
- Implementing a Grid / Cloud e-Science Infrastructure for Hydrological Sciences
- The German Grid Initiative
- Democratizing Resource-Intensive e-Science Through Peer-to-Peer Grid Computing
- Peer4Peer: E-science Communities for Overlay Network and Grid Computing Research
- Part II: Data-Intensive e-Science
- A Multi-Disciplinary, Model-Driven, Distributed Science Data System Architecture
- An Integrated Ontology Management and Data Sharing Framework for Large-Scale Cyberinfrastructure
- Part III: Collaborative Research
- An e-Science Cyberinfrastructure for Solar-enabled Water Production and Recycling
- e-Science Infrastructure Interoperability Guide
- Trustworthy Distributed Systems Through Integrity-Reporting
- An Intrusion Diagnosis Perspective on Cloud Computing
- Part IV: Research Automation, Reusability, Reproducibility and Repeatability
- Conventional Workflow Technology for Scientific Simulation
- Facilitating E-Science Discovery Using Scientific Workflows on the Grid
- Concepts and Algorithms of Mapping Grid-Based Workflows to Resources Within an SLA Context
- Orchestrating e-Science with the Workflow Paradigm
- Part V: e-Science: Easy Science
- Face Recognition using Global and Local Salient Features
- OGSA-Based SOA for Collaborative Cancer Research
- e-Science.
