A Cloud-based architecture for the Cherenkov Telescope Array observation simulations. Optimisation, design, and results
arXiv:1901.00410 · doi:10.3847/1538-4365/aafcb5
Abstract
Simulating and analysing detailed observations of astrophysical sources for very high energy (VHE) experiments, like the Cherenkov Telescope Array (CTA), can be a demanding task especially in terms of CPU consumption and required storage. In this context, we propose an innovative cloud computing architecture based on Amazon Web Services (AWS) aiming to decrease the amount of time required to simulate and analyse a given field by distributing the workload and exploiting the large computational power offered by AWS. We detail how the various services offered by the Amazon online platform are jointly used in our architecture and we report a comparison of the execution times required for simulating observations of a test source with the CTA, by a single machine and the cloud-based approach. We find that, by using AWS, we can run our simulations more than 2 orders of magnitude faster than by using a general purpose workstation for the same cost. We suggest to consider this method when observations need to be simulated, analysed, and concluded within short timescales.
Accepted for publication in Astrophysical Journal Supplement (ApJS)
References in corpus (5)
- Teraelectronvolt Astronomy
- GammaLib and ctools: A software framework for the analysis of astronomical gamma-ray data
- Accessing the population of high redshift Gamma Ray Bursts
- Prospects for gamma-ray observations of narrow-line Seyfert 1 galaxies with the Cherenkov Telescope Array
- Reducing and Analyzing the PHAT Survey with the Cloud
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