Show simple item record

Files in this item

Thumbnail

Item metadata

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.date.accessioned2015-10-05T16:10:02Z
dc.date.available2015-10-05T16:10:02Z
dc.date.issued2015-08-31
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 . https://doi.org/10.1109/eScience.2015.54en
dc.identifier.citationconferenceen
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.identifier.urihttp://hdl.handle.net/10023/7605
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.language.isoeng
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 http://www.computer.org/csdl/proceedings/escience/index.htmlen
dc.subjectQB Astronomyen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQC Physicsen
dc.subjectNDASen
dc.subject.lccQBen
dc.subject.lccQA75en
dc.subject.lccQCen
dc.titleCloud-based e-Infrastructure for scheduling astronomical observationsen
dc.typeConference itemen
dc.description.versionPostprinten
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
dc.identifier.doihttps://doi.org/10.1109/eScience.2015.54
dc.identifier.urlhttp://www.computer.org/csdl/proceedings/escience/index.htmlen


This item appears in the following Collection(s)

Show simple item record