Planning and scheduling systems organize tasks into a timeline or schedule. Tasks are logically grouped into containers called models. Models are a collection of related tasks, along with their dependencies and requirements, that when met will produce the desired result. One challenging domain for a planning and scheduling system is the operation of on-board experiments for the International Space Station. In these experiments, the equipment used is among the most complex hardware ever developed; the information sought is at the cutting edge of scientific endeavor; and the procedures are intricate and exacting. Scheduling is made more difficult by a scarcity of station resources. The models to be fed into the scheduler must describe both the complexity of the experiments and procedures (to ensure a valid schedule) and the flexibilities of the procedures and the equipment (to effectively utilize available resources). Clearly, scheduling International Space Station experiment operations calls for a maximally expressive modeling schema.


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    Titel :

    Maximally Expressive Modeling


    Beteiligte:
    J. Jaap (Autor:in) / E. Davis (Autor:in) / L. Richardson (Autor:in)

    Erscheinungsdatum :

    2004


    Format / Umfang :

    10 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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