In International Conference On Space Operations (SpaceOps 2018), Marseille, France, May, 2018. Paper abstract bibtex
Over a period of several years, the software systems that plan and schedule the use of NASA’s Deep Space Network (DSN) for the projects it serves have been upgraded from a disparate set of decades - old software components, to an integrated suite covering long - range planning and forecasting, all the way to real - time scheduling. The most recent component of this suite is known as LAPS, for Loading Analysis and Planning Software, and is responsible for long - term planning and forecasting, including studies and analysis of new mi ssions, changed mission requirements, downt ime, and new or changed antenna capabilities . This paper discuss es the architecture of LAPS and its interfaces with other elements of DSN planning and scheduling, its user interfaces, and some lessons learned from development and deployment.