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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