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Evaluation methodologies for an advanced information processing systemThe system concept and requirements for an Advanced Information Processing System (AIPS) are briefly described, but the emphasis of this paper is on the evaluation methodologies being developed and utilized in the AIPS program. The evaluation tasks include hardware reliability, maintainability and availability, software reliability, performance, and performability. Hardware RMA and software reliability are addressed with Markov modeling techniques. The performance analysis for AIPS is based on queueing theory. Performability is a measure of merit which combines system reliability and performance measures. The probability laws of the performance measures are obtained from the Markov reliability models. Scalar functions of this law such as the mean and variance provide measures of merit in the AIPS performability evaluations.
Document ID
19850035683
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Schabowsky, R. S., Jr.
(Draper (Charles Stark) Lab., Inc. Cambridge, MA, United States)
Gai, E.
(Draper (Charles Stark) Lab., Inc. Cambridge, MA, United States)
Walker, B. K.
(Draper (Charles Stark) Lab., Inc. Cambridge, MA, United States)
Lala, J. H.
(Draper (Charles Stark) Lab., Inc. Cambridge, MA, United States)
Motyka, P.
(Charles Stark Draper Laboratory, Inc. Cambridge, MA, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1984
Subject Category
Computer Systems
Report/Patent Number
AIAA PAPER 84-2647
Meeting Information
Meeting: Digital Avionics Systems Conference
Location: Baltimore, MD
Start Date: December 3, 1984
End Date: December 6, 1984
Accession Number
85A17834
Funding Number(s)
CONTRACT_GRANT: NAS9-16023
CONTRACT_GRANT: NASA TASK 84-18
Distribution Limits
Public
Copyright
Other

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