000			04302cam a2200205 i 4500
999			_c1587 _d1587
020			_a9781466591158
040			_cCUS
082	0	0	_a004 _bTER/C
245	0	0	_aCloud computing with e-science applications/ _cedited by Olivier Terzo
260			_aBoca Raton: _bCRC Press, _c2015.
300			_axx, 300 p. : _bill. ; _c24 cm.
505			_aChapter 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.
650		0	_aCloud computing
650		0	_aResearch--Data processing
650		0	_aScience--Data processing
700			_aTerzo, Olivier, ed.
942			_cWB16