A Cost-Benefit Analysis of Cloud Technology in Scientific Method of AWS

The exponential increase in the size of scientific datasets will make the existing method of transmitting data from data centres to workstations for processing obsolete very soon. Instead, processing will frequently occur on high-performance computers that are physically close to the data. There is an urgent need for assessments of how new technologies like cloud computing might enable a new distributed computing architecture. Using virtualization technologies, software that allows users to purchase computational and storage resources on demand. We provide here the findings of our research into the application of business cloud technology to scientific computing, with an emphasis on astronomy, including investigations into what sorts of applications can be run low cost and efficiently on the cloud, and an example of an application ideally suited to the cloud: processing a large-scale dataset to introduce a new research output. Here we are mainly focusing on Amazon Web Services. One of the key components of Cloud Computing is Elasticity and Scaling.