Cloud computing with e-science applications
<P>The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. This book describes how cloud computing can significantly impr...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press
[2015]
|
| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629831306719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Acknowledgments; About the Editors; List of Contributors; Chapter 1: Evaluation Criteria to Run Scientific Applications in the Cloud; Chapter 2: Cloud-Based Infrastructure for Data-Intensive e-Science Applications: Requirements and Architecture; Chapter 3: Securing Cloud Data; Chapter 4: Adaptive Execution of Scientific Workflow Applications on Clouds; Chapter 5: Migrating e-Science Applications to the Cloud: Methodology and Evaluation; Chapter 6: Closing the Gap between Cloud Providers and Scientific Users
- Chapter 7: Assembling Cloud-Based Geographic Information Systems: A Pragmatic Approach Using Off-the-Shelf ComponentsChapter 8: HCloud, a Healthcare-Oriented Cloud System with Improved Efficiency in Biomedical Data Processing; Chapter 9: RPig: Concise Programming Framework by Integrating R with Pig for Big Data Analytics; Chapter 10: AutoDock Gateway for Molecular Docking Simulations in Cloud Systems; Chapter 11: SaaS Clouds Supporting Biology and Medicine; Chapter 12: Energy-Aware Policies in Ubiquitous Computing Facilities; Back Cover
