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Reliability through redundant parallelism for micro-satellite computing

McLoughlin, Ian Vince, Bretschneider, Timo Rolf (2010) Reliability through redundant parallelism for micro-satellite computing. ACM Transactions on Embedded Computer Systems, 9 (3). p. 26. (doi:10.1145/1698772.1698784) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1145/1698772.1698784

Abstract

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.

Item Type: Article
DOI/Identification number: 10.1145/1698772.1698784
Subjects: T Technology
Divisions: Faculties > Sciences > School of Computing
Depositing User: Ian McLoughlin
Date Deposited: 07 Sep 2015 15:18 UTC
Last Modified: 29 May 2019 14:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48842 (The current URI for this page, for reference purposes)
McLoughlin, Ian Vince: https://orcid.org/0000-0001-7111-2008
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