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Cloud computing with e-science applications/ edited by Olivier Terzo

Contributor(s): Terzo, Olivier, edMaterial type: Text

TextPublication details: Boca Raton: CRC Press, 2015Description: xx, 300 p. : ill. ; 24 cmISBN: 9781466591158Subject(s): Cloud computing | Research--Data processing | Science--Data processingDDC classification: 004

Contents:

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 application to the cloud: methodology and evaluation -- Chapter 6. Closing the gap between cloud providers and scientific users -- Chapter 7. Assembling cloud-based geogrpahic information systems: a pragmatic approach using off-the-shelf components -- Chapter 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. Auodock 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.

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Holdings ( 1 )
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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	004 TER/C (Browse shelf(Opens below))	Available		P41461

Total holds: 0

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 application to the cloud: methodology and evaluation --
Chapter 6. Closing the gap between cloud providers and scientific users --
Chapter 7. Assembling cloud-based geogrpahic information systems: a pragmatic approach using off-the-shelf components --
Chapter 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. Auodock 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.

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