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049    INap 
082 04 004.6782 
082 04 004.6782|223 
099    eBook O'Reilly for Public Libraries 
245 00 Cloud computing with e-science applications /|cedited by 
       Olivier Terzo, Lorenzo Mossucca.|h[O'Reilly electronic 
       resource] 
264  1 Boca Raton :|bCRC Press,|c[2015] 
264  4 |c©20 
264  4 |c©2015 
300    1 online resource (xx, 300 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
504    Includes bibliographical references and index. 
505 0  Evalutation criteria to run scientific applications in the
       cloud / Eduardo Roloff, Alexandre da Silva Carissimi, and 
       Philippe Olivier Alexandre Navaux -- Cloud-based 
       infrastructure for data-intensive e-science applications: 
       requirements and architecture / Yuri Demchenko, Canh Ngo, 
       Paola Grosso, Cees de Laat, and Peter Membrey -- Securing 
       cloud data / Sushmita Ruj and Rajat Saxena -- Adaptive 
       execution of scientific workflow applications on clouds / 
       Rodrigo N. Calheiros, Henry Kasim, Terence Hung, Xiaorong 
       Li, Sifei Lu, Long Wang, Henry Palit, Gary Lee, Tuan Ngo, 
       and Rajkumar Buyya -- Migrating e-science applications to 
       the cloud: methodology and evaluation / Steve Strauch, 
       Vasilios Andrikopoulos, Dimka Karastoyanova, and Karolina 
       Vukojevic-Haupt -- Closing the gap between cloud providers
       and scientific users / David Susa, Harold Castro, and 
       Mario Villamizar -- Assembling cloud-based geographic 
       information systems: a pragmatic approach using off-the-
       shelf components / Muhammad Akmal, Ian Allison, and 
       Horacio González-Vélez -- Hcloud, a healthcare-oriented 
       cloud system with improved efficiency in biomedical data 
       processing / Ye Li, Chenguang He, Xiaomao Fan, Xucan Huang,
       and Yunpeng Cai -- RPig: concise programming framework by 
       integrating R with pig for big data analytics / MingXue 
       Wang and Sidath B. Handurukande -- Autodock gateway for 
       molecular docking simulations in cloud systems / Zoltán 
       Farkas, Péter Kacsuk, Tamás Kiss, Péter Borsody, Ákos 
       Hajnal, Ákos Balaskó, and Krisztián Karóczkai -- SaaS 
       clouds supporting biology and medicine / Philip Church, 
       Andrzej Goscinski, Adam Wong, and Zahir Tari -- Energy-
       aware policies in ubiquitous computing facilities / Marina
       Zapater, Patricia Arroba, José Luis Ayala Rodrigo, 
       Katzalin Olcoz Herrero, and José Manuel Moya Fernandez. 
520    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 improve data management in different 
       scientific fields, such as bioinformatics, earth science, 
       and computer science. This book focuses on how cloud 
       computing helps in the areas of resource control, vertical
       and horizontal scalability, and adaptive scheduling. 
546    English. 
588 0  Print version record. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Cloud computing. 
650  0 Science|xData processing. 
650  0 Computational grids (Computer systems) 
650  0 Research|xData processing. 
650  6 Infonuagique. 
650  6 Sciences|xInformatique. 
650  6 Grilles informatiques. 
650  7 Cloud computing|2fast 
650  7 Computational grids (Computer systems)|2fast 
650  7 Research|xData processing|2fast 
650  7 Science|xData processing|2fast 
650  7 Cloud Computing|2gnd 
700 1  Terzo, Olivier,|eeditor. 
700 1  Mossucca, Lorenzo,|eeditor. 
776 08 |iPrint version:|tCloud computing with e-science 
       applications.|dBoca Raton : Taylor & Francis, 2015
       |z9781466591158|w(DLC)  2015004557|w(OCoLC)905222104 
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