Adaptive fault tolerance for spacecraft

Hecht, Myron; Hecht, H.; Shokri, E.

doi:10.1109/aero.2000.878526

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…• Provides a means of implementing adaptive fault tolerance [11], as changing the FT strategy can be performed at run-time by simply calling the setStrategy method. The strategy can be modified based on the reliability requirements of each the mission phase, or even for other factors as resource availability and power consumption.…”

Section: Discussionmentioning

confidence: 99%

Application-level fault tolerance in real-time embedded systems

Afonso

Tavares

Montenegro³

2008

2008 International Symposium on Industrial Embedded Systems

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Abstract-Critical real-time embedded systems need to make use of fault tolerance techniques to cope with operation time errors, either in hardware or software. Fault tolerance is usually applied by means of redundancy and diversity. Redundant hardware implies the establishment of a distributed system executing a set of fault tolerance strategies by software, and may also employ some form of diversity, by using different variants or versions for the same processing.This work proposes and evaluates a fault tolerance framework for supporting the development of dependable applications. This framework is build upon basic operating system services and middleware communications and brings flexible and transparent support for application threads. A case study involving radar filtering is described and the framework advantages and drawbacks are discussed.

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Section: Discussionmentioning

confidence: 99%

Application-level fault tolerance in real-time embedded systems

Afonso

Tavares

Montenegro³

2008

2008 International Symposium on Industrial Embedded Systems

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“…Hecht et al developed an adaptive fault-tolerant middleware for deep space missions in [12]. The adaptivity is derived from the ability to switch the fault tolerance mechanisms depending on the current environmental conditions and the available resources.…”

Section: Related Workmentioning

confidence: 99%

ScOSA system software: the reliable and scalable middleware for a heterogeneous and distributed on-board computer architecture

et al. 2021

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Designing on-board computers (OBC) for future space missions is determined by the trade-off between reliability and performance. Space applications with higher computational demands are not supported by currently available, state-of-the-art, space-qualified computing hardware, since their requirements exceed the capabilities of these components. Such space applications include Earth observation with high-resolution cameras, on-orbit real-time servicing, as well as autonomous spacecraft and rover missions on distant celestial bodies. An alternative to state-of-the-art space-qualified computing hardware is the use of commercial-off-the-shelf (COTS) components for the OBC. Not only are these components cheap and widely available, but they also achieve high performance. Unfortunately, they are also significantly more vulnerable to errors induced by radiation than space-qualified components. The ScOSA (Scalable On-board Computing for Space Avionics) Flight Experiment project aims to develop an OBC architecture which avoids this trade-off by combining space-qualified radiation-hardened components (the reliable computing nodes, RCNs) together with COTS components (the high performance nodes, HPNs) into a single distributed system. To abstract this heterogeneous architecture for the application developers, we are developing a middleware for the aforementioned OBC architecture. Besides providing an monolithic abstraction of the distributed system, the middleware shall also enhance the architecture by providing additional reliability and fault tolerance. In this paper, we present the individual components comprising the middleware, alongside the features the middleware offers. Since the ScOSA Flight Experiment project is a successor of the OBC-NG and the ScOSA projects, its middleware is also a further development of the existing middleware. Therefore, we will present and discuss our contributions and plans for enhancement of the middleware in the course of the current project. Finally, we will present first results for the scalability of the middleware, which we obtained by conducting software-in-the-loop experiments of different sized scenarios.

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“…24 See, for example, US Atomic Energy Commission, 1952. centers of Cold War power. 25 And Paul Josephson's analysis of ''atomic-powered communism'' points to the system for disseminating radioisotopes and nuclear technology that emerged on the other side of the Iron Curtain, complete with ''isotope stores'' in cities such as Moscow and Kiev. 26 Over the course of the three decades after Hiroshima, radiobiology served as an umbrella term for a variety of research interests supported by atomic science policy.…”

Section: Introductionmentioning

confidence: 99%