An Investigation on Applications of Cloud Computing in Scientific Computing

2011 ◽  
pp. 201-206
Author(s):  
Huiying Chen ◽  
Feng Wang ◽  
Hui Deng
Keyword(s):  
Cloud Computing ◽  
Scientific Computing

Cloud in Science

2014 ◽  
pp. 165-191
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Scientific Computing ◽  
Scientific Discovery ◽  
Software Environment ◽  
Access To Resources ◽  
On Demand ◽  
Service Models ◽  
New Models ◽  
The Impact

Cloud computing technologies and service models are attractive to scientific computing users due to the ability to get on-demand access to resources as well as the ability to control the software environment. Scientific computing researchers and resource providers servicing these users are considering the impact of new models and technologies. SaaS solutions like Globus Online and IaaS solutions such as Nimbus Infrastructure and OpenNebula accelerate the discovery of science by helping scientists to conduct advanced and large-scale science. This chapter describes how cloud is helping researchers to accelerate scientific discovery by transforming manual and difficult tasks into the cloud.

scholarly journals Build and Evaluate a Free Virtual Cluster on Amazon Elastic Compute Cloud for Scientific Computing

2017 ◽  
Vol 13 (08) ◽  
pp. 121 ◽  
Author(s):  
Jie Xiong ◽  
Shen-Han Shi ◽  
Song Zhang
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Scientific Computing ◽  
Prototype System ◽  
Virtual Cluster ◽  
Huge Amount ◽  
Computing Systems ◽  
Comprehensive Performance ◽  
Amazon Ec2

Scientific computing requires a huge amount of computing resources, but not all the scientific researchers have an access to sufficient high-end computing systems. Currently, Amazon provides a free tier account for cloud computing which could be used to build a virtual cluster. In order to investigate whether it is suitable for scientific computing, we first describe how to build a free virtual cluster using StarCluster on Amazon Elastic Compute Cloud (EC2). Then, we perform a comprehensive performance evaluation of the virtual cluster built before. The results show that a free virtual cluster is easily built on Amazon EC2 and it is suitable for the basic scientific computing. It is especially valuable for scientific researchers, who do not have any HPC or cluster, to develop and test their prototype system of scientific computing without paying anything, and move it to a higher performance virtual cluster when necessary by choosing more powerful instance on Amazon EC2.

Performance Analysis of Cloud Computing Services for MTC-Based Scientific Computing

2011 ◽  
Author(s):  
Alexandru Iosup ◽  
Simon Ostermann ◽  
Nezih Yigitbasi ◽  
Radu Prodan ◽  
Thomas Fahringer ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Performance Analysis ◽  
Scientific Computing ◽  
Computing Services ◽  
Cloud Computing Services

scholarly journals Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing

2011 ◽  
Vol 22 (6) ◽  
pp. 931-945 ◽  
Author(s):  
A Iosup ◽  
S Ostermann ◽  
M N Yigitbasi ◽  
R Prodan ◽  
T Fahringer ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Performance Analysis ◽  
Scientific Computing ◽  
Computing Services ◽  
Cloud Computing Services

Enterprise Cloud Computing

2009 ◽  
Author(s):  
Gautam Shroff
Keyword(s):  
Cloud Computing

Cloud-Computing: eHealth aus der Wolke

2018 ◽  
Vol 23 (11) ◽  
pp. 38-41
Author(s):  
Sebastian Krolop ◽  
Florian Benthin ◽  
Constanze Knahl
Keyword(s):  
Cloud Computing ◽  
Point Of Care

Cloud-Computing gewinnt auch in Kliniken zunehmend an Bedeutung. Über das Internet bereitgestellte Lösungen verändern nicht nur Verwaltung und Logistik – im klinischen Bereich geht es zum Beispiel um die Nutzung elektronischer Patientenakten am Point-of-Care.

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