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Ground data systems resource allocation processThe Ground Data Systems Resource Allocation Process at the Jet Propulsion Laboratory provides medium- and long-range planning for the use of Deep Space Network and Mission Control and Computing Center resources in support of NASA's deep space missions and Earth-based science. Resources consist of radio antenna complexes and associated data processing and control computer networks. A semi-automated system was developed that allows operations personnel to interactively generate, edit, and revise allocation plans spanning periods of up to ten years (as opposed to only two or three weeks under the manual system) based on the relative merit of mission events. It also enhances scientific data return. A software system known as the Resource Allocation and Planning Helper (RALPH) merges the conventional methods of operations research, rule-based knowledge engineering, and advanced data base structures. RALPH employs a generic, highly modular architecture capable of solving a wide variety of scheduling and resource sequencing problems. The rule-based RALPH system has saved significant labor in resource allocation. Its successful use affirms the importance of establishing and applying event priorities based on scientific merit, and the benefit of continuity in planning provided by knowledge-based engineering. The RALPH system exhibits a strong potential for minimizing development cycles of resource and payload planning systems throughout NASA and the private sector.
Document ID
19890017211
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Berner, Carol A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Durham, Ralph
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Reilly, Norman B.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 6, 2013
Publication Date
April 1, 1989
Publication Information
Publication: NASA. Goddard Space Flight Center, The 1989 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
89N26582
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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