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Reliability through redundant parallelism for micro-satellite computing
Author(s) -
Ian McLoughlin,
T. Bretschneider
Publication year - 2010
Publication title -
acm transactions on embedded computing systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.435
H-Index - 56
eISSN - 1558-3465
pISSN - 1539-9087
DOI - 10.1145/1698772.1698784
Subject(s) - computer science , reliability (semiconductor) , architecture , field programmable gate array , key (lock) , spacecraft , commercial off the shelf , reliability engineering , redundancy (engineering) , embedded system , distributed computing , power (physics) , computer security , art , programming language , physics , software , quantum mechanics , engineering , visual arts , aerospace engineering , operating system
Spacecraft typically employ rare and expensive radiation-tolerant, radiation-hardened, or at least military qualified parts for computational and other mission critical subsystems. Reasons include reliability in the harsh environment of space, and systems compatibility or heritage with previous missions. The overriding reliability concern leads most satellite computing systems to be rather conservative in design, avoiding novel or commercial-off-the-shelf components. This article describes an alternative approach: an FPGA-arbitrated parallel architecture that allows unqualified commercial devices to be incorporated into a computational device with aggregate reliability figures similar to those of traditional space-qualified alternatives. Apart from the obvious cost benefits in moving to commercial-off-the-shelf devices, these are attractive in situations where lower power consumption and/or higher processing performance are required. The latter argument is particularly of major importance at a time when the gap between required and available processing capability in satellites is widening. An analysis compares the proposed architecture to typical alternatives, maintaining risk of failure to within required levels, and discusses key applications for the parallel architecture.

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