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PSAM 16 Conference Paper Overview

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Lead Author: Alexandra Loumidis Co-author(s): Todd Paulos, todd.paulos@jpl.nasa.gov Andrew Ho, andrew.h.ho@jpl.nasa.gov Douglas Sheldon, douglas.j.sheldon@jpl.nasa.gov
Markov Modeling of Redundant System-On-Chip (SOC) Systems
The increasing cost and decreasing availability of space-rated custom System on Chip (SoC) components has led to interest in using commercial components from terrestrial industries in space environments. Along with this interest, there exists a need to understand how the reliability of the chips, including common cause upsets, can impact the probability of mission success and risk. This project modeled the failure and recovery of a system consisting of two Qualcomm Snapdragon processors with five upset types each. Four Markov models were created, modeling both recoverable and non-recoverable systems. Models 1 through 3 assume the system is recoverable while Model 4 was created to account for non-recoverable upsets. Model 1 assumes the rate of recovering two upset items is the same as the rate of recovering one upset item. Model 2 assumes that items recover one at a time at two different recovery rates. Model 3 assumes that the boot-up time of a second processor is greater than the recovery time for a single processor.  MATLAB scripts were produced to plot availability of each model over time. The three recoverable models achieved availability of greater than 0.970 after 10^6 seconds while the non-recoverable model achieved availability of 0.344 after the same time period. This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Keywords: Markov, redundant, Snapdragon.

Paper AL319 Preview

Author and Presentation Info

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Lead Author Name: Alexandra Loumidis (aloumidis@g.hmc.edu)

Bio: Alexandra has a degree in Engineering from Harvey Mudd College. Last year, she worked as a summer intern at NASA Jet Propulsion Laboratory in the system reliability group, working on Markov modeling of redundant systems as well as creating a software conversion tool for probabilistic risk assessment software SAPHIRE.

Country: United States of America
Company: Harvey Mudd College
Job Title: Student Researcher

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