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dc.contributor.authorWetter, James Patrick
dc.contributor.authorAkgun, Ozgur
dc.contributor.authorBarker, Adam David
dc.contributor.authorDominik, Martin
dc.contributor.authorMiguel, Ian James
dc.contributor.authorVarghese, Blesson
dc.identifier.citationWetter , J P , Akgun , O , Barker , A D , Dominik , M , Miguel , I J & Varghese , B 2015 , Cloud-based e-Infrastructure for scheduling astronomical observations . in 2015 IEEE 11th International Conference on e-Science (e-Science) (2015) . IEEE Computer Society , pp. 362-370 , 11th IEEE International Conference on eScience , Munich , Germany , 31/08/15 .
dc.identifier.otherPURE: 220438974
dc.identifier.otherPURE UUID: 3881455b-3605-4960-a6ba-e0910108ab95
dc.identifier.otherScopus: 84959050870
dc.identifier.otherORCID: /0000-0001-9519-938X/work/33166293
dc.identifier.otherWOS: 000380433500050
dc.identifier.otherORCID: /0000-0002-6930-2686/work/68281468
dc.identifier.otherORCID: /0000-0002-3202-0343/work/75996785
dc.descriptionThis research was pursued under the EPSRC grant ‘Working Together: Constraint Programming and Cloud Computing’ (EP/K015745/1) and an Amazon Web Services (AWS) Education Research Grant.en
dc.description.abstractGravitational 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.
dc.publisherIEEE Computer Society
dc.relation.ispartof2015 IEEE 11th International Conference on e-Science (e-Science) (2015)en
dc.rights© 2015. IEEE. This is the accepted manuscript of a conference paper originally submitted to the 11th IEEE International Conference on eScience available from
dc.subjectQB Astronomyen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQC Physicsen
dc.titleCloud-based e-Infrastructure for scheduling astronomical observationsen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews.Centre for Interdisciplinary Research in Computational Algebraen
dc.contributor.institutionUniversity of St Andrews.School of Physics and Astronomyen

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