International Journal of Information Technology & Computer Science ( IJITCS )
Scientific applications are characterized by requiring high computing power and this requirement is one of the main limiting factors to study some type of simulations. To provide the computing capacity required, several solutions were developed such as High Performance Computing (HPC), High Throughput Computing (HTC), grid and cloud, recently. The emerging of cloud computing and the development of the Infrastructure as a Service (IaaS) paradigm allows the computing capacity to be scaled on demand, usually using Virtual Machines (VMs). In this article, we analyze the possibility of using a cloud infrastructure in order to optimize the data reduction and analysis of radio astronomy using Common Astronomy Software Applications package (CASA) suite. This application is currently used for analysis of data from astronomical observations in radio wavelengths. The performance of CASA astronomical simulations in the cloud and the influence of the Hyper- Threading when a set of VMs executing high demanding CPU processes is executed concurrently in the same compute node is also presented.
: cloud; virtualization; astronomy; simulations; performance
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