Cloud Computing in Ocean and Atmospheric Sciences
Editat de Tiffany C Vance, Nazila Merati, Chaowei Yang, May Yuanen Limba Engleză Paperback – 29 mar 2016
The book provides a range of practical examples of cloud applications that are written to be accessible to practitioners, researchers, and students in affiliated fields. By providing general information on the use of the cloud for oceanographic and atmospheric computing, as well as examples of specific applications, this book encourages and educates potential users of the cloud. The chapters provide an introduction to the practical aspects of deploying in the cloud, also providing examples of workflows and techniques that can be reused in new projects.
- Provides real examples that help new users quickly understand the cloud and provide guidance for new projects
- Presents proof of the usability of the techniques and a clear path to adoption of the techniques by other researchers
- Includes real research and development examples
- that are ideal for cloud computing adopters in ocean and atmospheric domains
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Specificații
ISBN-13: 9780128031926
ISBN-10: 0128031921
Pagini: 454
Dimensiuni: 152 x 229 x 25 mm
Greutate: 0.73 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128031921
Pagini: 454
Dimensiuni: 152 x 229 x 25 mm
Greutate: 0.73 kg
Editura: ELSEVIER SCIENCE
Cuprins
Foreword
List of Contributors/Author biographies
Dedication
Acknowledgements
Introduction
1. A Primer on cloud computing
2. Analysis patterns for cloud centric atmospheric and ocean research
3. Forces and Patterns In The Scientific Cloud: Recent History and Beyond
4. Data-driven Atmospheric Sciences using Cloud-based Cyberinfrastructure: Plans, opportunities, and challenges for a real-time weather data facility
5. Supporting marine sciences with Cloud services: technical feasibility and challenges
6. How we used cloud services to develop a 4D browser visualisation of environmental data at the Met Office Informatics Lab
7. Cloud computing in Education
8. Cloud computing for the distribution of numerical weather predictions outputs
9. A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research
10. Polar CI Portal: A Cloud-based Polar Resource Discovery Engine
11. Climate analytics as a service
12. Using cloud-based analytics to save lives
13. Hadoop in Cloud to Analyze Climate Datasets
14. LiveOcean
15. Usage of Social Media and Cloud Computing during Natural Hazards
16. Dubai Operational Forecasting System in Amazon cloud
17. Utilizing cloud computing to support scalable atmospheric modeling: A case study of cloud-enabled ModelE
18. ERMA to the cloud
19. A Distributed, RESTful Data Service in the Cloud in a Federal Environment: A Cautionary Tale
20. Conclusions and the road ahead
List of Contributors/Author biographies
Dedication
Acknowledgements
Introduction
1. A Primer on cloud computing
2. Analysis patterns for cloud centric atmospheric and ocean research
3. Forces and Patterns In The Scientific Cloud: Recent History and Beyond
4. Data-driven Atmospheric Sciences using Cloud-based Cyberinfrastructure: Plans, opportunities, and challenges for a real-time weather data facility
5. Supporting marine sciences with Cloud services: technical feasibility and challenges
6. How we used cloud services to develop a 4D browser visualisation of environmental data at the Met Office Informatics Lab
7. Cloud computing in Education
8. Cloud computing for the distribution of numerical weather predictions outputs
9. A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research
10. Polar CI Portal: A Cloud-based Polar Resource Discovery Engine
11. Climate analytics as a service
12. Using cloud-based analytics to save lives
13. Hadoop in Cloud to Analyze Climate Datasets
14. LiveOcean
15. Usage of Social Media and Cloud Computing during Natural Hazards
16. Dubai Operational Forecasting System in Amazon cloud
17. Utilizing cloud computing to support scalable atmospheric modeling: A case study of cloud-enabled ModelE
18. ERMA to the cloud
19. A Distributed, RESTful Data Service in the Cloud in a Federal Environment: A Cautionary Tale
20. Conclusions and the road ahead