Cloud computing with e-science applications/ 
edited by Olivier Terzo 
 - Boca Raton:  CRC Press,  2015. 
 - xx, 300 p. :  ill. ;  24 cm. 
<br/><br/>Chapter 1. Evaluation criteria to run scientific applications in the cloud --<br/>Chapter 2. Cloud-based infrastructure for data-intensive e-science applications: requirements and architecture --<br/>Chapter 3. Securing cloud data --<br/>Chapter 4. Adaptive execution of scientific workflow applications on clouds --<br/>Chapter 5. Migrating e-science application to the cloud: methodology and evaluation --<br/>Chapter 6. Closing the gap between cloud providers and scientific users --<br/>Chapter 7. Assembling cloud-based geogrpahic information systems: a pragmatic approach using off-the-shelf components --<br/>Chapter 8. Hcloud, a healthcare-oriented cloud system with improved efficiency in biomedical data processing --<br/>Chapter 9. Rpig: concise programming framework by integrating r with pig for big data analytics --<br/>Chapter 10. Auodock gateway for molecular docking simulations in cloud systems --<br/>Chapter 11. Saas clouds supporting biology and medicine --<br/>Chapter 12. Energy-aware policies in ubiquitous computing facilities. 
<br/><br/><label>ISBN: </label>9781466591158 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Cloud computing<br/>Research--Data processing<br/>Science--Data processing
<br/><br/><label>Dewey Class. No.: </label>004  / TER/C