Cloud Computing with e-Science Applications
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Published By CRC Press

9781315215655
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Evaluation Criteria to Run Scientific Applications in the Cloud

2017 ◽  
pp. 1-16
Author(s):  
Eduardo Roloff ◽  
Alexandre da ◽  
Silva Carissimi ◽  
Philippe Olivier ◽  
Alexandre Navaux
Keyword(s):  
Evaluation Criteria ◽  
Scientific Applications

Securing Cloud Data

2017 ◽  
pp. 41-72 ◽  
Author(s):  
Sushmita Ruj ◽  
Rajat Saxena
Keyword(s):  
Cloud Data

Closing the Gap between Cloud Providers and Scientific Users

2017 ◽  
pp. 115-140 ◽  
Author(s):  
David Susa ◽  
Harold Castro ◽  
Mario Villamizar
Keyword(s):  
Cloud Providers ◽  
Closing The Gap

HCloud, a Healthcare-Oriented Cloud System with Improved Efficiency in Biomedical Data Processing

2017 ◽  
pp. 163-192
Author(s):  
Ye Li ◽  
Chenguang He ◽  
Xiaomao Fan ◽  
Xucan Huang ◽  
Yunpeng Cai
Keyword(s):  
Data Processing ◽  
Cloud System ◽  
Biomedical Data

Migrating e-Science Applications to the Cloud: Methodology and Evaluation

2017 ◽  
pp. 89-114 ◽  
Author(s):  
Strauch Steve ◽  
Andrikopoulos Vasilios ◽  
Karastoyanova Dimka ◽  
Karolina Vukojevic-Haupt

RPig

2017 ◽  
pp. 193-216 ◽  
Author(s):  
MingXue Wang ◽  
Sidath B. Handurukande

Adaptive Execution of Scientific Workflow Applications on Clouds

2017 ◽  
pp. 73-88 ◽  
Author(s):  
Rodrigo N. Calheiros ◽  
Kasim Henry ◽  
Hung Terence ◽  
Li Xiaorong ◽  
Lu Sifei ◽  
...  
Keyword(s):  
Scientific Workflow ◽  
Adaptive Execution

scholarly journals AutoDock Gateway for Molecular Docking Simulations in Cloud Systems

2017 ◽  
pp. 217-236 ◽  
Author(s):  
Zoltán Farkas ◽  
Péter Kacsuk ◽  
Tamás Kiss ◽  
Péter Borsody ◽  
Ákos Hajnal ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Docking Simulations ◽  
Cloud Systems

SaaS Clouds Supporting Biology and Medicine

2017 ◽  
pp. 237-266 ◽  
Author(s):  
Philip Church ◽  
Andrzej Goscinski ◽  
Adam Wong ◽  
Zahir Tari

Cloud-Based Infrastructure for Data-Intensive e-Science Applications: Requirements and Architecture

2017 ◽  
pp. 17-40
Author(s):  
Yuri Demchenko ◽  
Canh Ngo ◽  
Paola Grosso ◽  
de Laat Cees ◽  
Peter Membrey
Keyword(s):  
Data Intensive
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