Spike: AI scheduling for Hubble Space Telescope after 18 months of orbital operations
Mark Johnston · NASA Technical Reports Server (NASA) · 1992
This paper is a progress report on the Spike schedul-ing system, developed by the Space Telescope Sci-ence Institute for long-term scheduling of Hubble Space Telescope observations. Spike is an activity-based scheduler which exploits AI techniques for constraint representation and for scheduling search. The system has been in operational use since shortly after HST launch in April 1990. Spike has been adopted for several other satellite scheduling prob-lems: of particular interest has been the demonstra-tion that the Spike framework is sufficiently flexible to handle both long-term and short-term scheduling, on timescales of years down to minutes or less. We describe the recent progress made in scheduling search techniques, the lessons learned from early HST operations, and the application of Spike to other problem domains. We also describe plans for the future evolution of the system. 1