Cloud-based E-Infrastructure for Scheduling Astronomical Observations

J. Wetter, O. Akgun, A. Barker, M. Dominik, I. Miguel, B. Varghese

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
Original languageEnglish
Title of host publication11th IEEE International Conference on e-Science (e-Science), 2015. Acceptance rate: 25%
Pages362-370
Number of pages9
DOIs
Publication statusPublished - 01 Aug 2015
Externally publishedYes

Keywords

  • Galaxy
  • astronomical techniques
  • astronomy computing
  • clouds
  • gravitation
  • probability
  • scheduling
  • search problems
  • stars
  • Milky Way
  • astronomical observation scheduling
  • candidate schedule computation
  • cloud-based e-infrastructure
  • gravitational microlensing
  • local search
  • on-demand cloud resources
  • planet abundance measurement
  • probabilistic meta-heuristics
  • transient phenomenon
  • Clouds
  • Interrupters
  • Lenses
  • Measurement
  • Microoptics
  • Portfolios
  • Schedules
  • Cloud computing
  • Heuristic Algorithms
  • Scheduling

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