Cloud-based e-Infrastructure for scheduling astronomical observations

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Gravitational microlensing exploits a transient phenomenon where an observed star is brightened due to deflection of its light by the gravity of an intervening foreground star. It is conjectured that this technique can be used to measure
the abundance of planets throughout the Milky Way. In order to undertake efficient gravitational microlensing an observation schedule must be constructed such that various targets are observed while undergoing a microlensing event. In this paper, we propose a cloud-based e-Infrastructure that currently supports
four methods to compute candidate schedules via the application of local search and probabilistic meta-heuristics. We then validate the feasibility of the e-Infrastructure by evaluating the methods on historic data. The experiments demonstrate that the use of on-demand cloud resources for the e-Infrastructure can allow better schedules to be found more rapidly.
Original languageEnglish
Title of host publication2015 IEEE 11th International Conference on e-Science (e-Science) (2015)
PublisherIEEE Computer Society
Publication statusPublished - 31 Aug 2015
Event11th IEEE International Conference on eScience - Ludwig-Maximilians-Universität , Munich, Germany
Duration: 31 Aug 20154 Sept 2015


Conference11th IEEE International Conference on eScience
Internet address


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