Testing of fault-tolerant and real-time distributed systems via protocol fault injection

Dawson, S.; Jahanian, Farnam; Mitton, T.; Tung, Teck-Lee

doi:10.1109/ftcs.1996.534626

Cited by 83 publications

(42 citation statements)

References 19 publications

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“…Perturbation, repeatability, monitoring-time resolution, controllability are recognized as some of the most significant properties for fault injection tools [10], [11], [12], [13]; while designing both fault injection tools and experiments, typically relevant efforts are spent to properly address them. As examples in the field of SWIFI, we briefly mention the tools ORCHESTRA [14], XCEPTION [15] and LOKI [16] and an experiment [17] performed using the FTAPE tool.…”

Section: Guidelines and Good Practices For Swifimentioning

confidence: 99%

Trustworthy Evaluation of a Safe Driver Machine Interface through Software-Implemented Fault Injection

Ceccarelli

Bondavalli

Iovino

2009

2009 15th IEEE Pacific Rim International Symposium on Dependable Computing

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Abstract-Experimental evaluation is aimed at providing useful insights and results that constitute a confident representation of the system under evaluation. Although guidelines and good practices exist and are often applied, the uncertainty of results and the quality of the measuring system is rarely discussed. To complement such guidelines and good practices in experimental evaluation, metrology principles can contribute in improving experimental evaluation activities by assessing the measuring systems and the results achieved. In this paper we present the experimental evaluation by software-implemented fault injection of a safe train-borne Driver Machine Interface (DMI), to evaluate its behavior in presence of faults. The measuring system built for the purpose and the results obtained on the assessment of the DMI are scrutinized along basic principles of metrology and good practices of fault injection. Trustfulness in results has been estimated satisfactory and the experimental campaign has shown that the safety mechanisms of the DMI correctly identify the faults injected and that a proper reaction is executed.

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Section: Guidelines and Good Practices For Swifimentioning

confidence: 99%

Trustworthy Evaluation of a Safe Driver Machine Interface through Software-Implemented Fault Injection

Ceccarelli

Bondavalli

Iovino

2009

2009 15th IEEE Pacific Rim International Symposium on Dependable Computing

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“…ManyS WIFI tools target distributed systems [19,7,8,6] butd on ot use virtualization. Such tools do not, by themselves, provide a solution to the problem of unattended operation of campaigns that require node reboots.…”

Section: Related Workmentioning

confidence: 99%

“…The use of fault injection to test distributed systems [19,7,8,6] and leveraging virtualization for fault injection [2,3,18,16,9,12] have been presented in previous works. However, unique features of our work include: A) a comprehensive presentation of all aspects of a practical testing infrastructure, and B) ad etailed case study of the use of the infrastructure to validate a system with multiple advanced fault tolerance features.…”

Section: Introductionmentioning

confidence: 99%

Using Virtualization to Validate Fault-Tolerant Distributed Systems

Hsu

Gallagher

et al. 2010

Informatics

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Asynchronous events and complexs ystem state distributed across independent nodes makee xposure and diagnosis of flaws in distributed systems a challenge. The difficulties are exacerbated when the goal is to validate fault tolerance mechanisms that are activated only by the occurrence of errors, which are, by nature, rare. Va lidation of fault tolerance mechanisms is often done by injecting faults that emulate the actual faults and ''stress''t he functionality of the resilience mechanisms. Va lidation campaigns lasting days and involving thousands of fault injections are often necessary.W ep resent an infrastructure that combines virtualization and software-implemented fault injection to automate validation campaigns and support the analysis of the behavior of a distributed system under test. Virtualization enables: 1) aflexible fault injector capable of emulating a wide variety of faults, and 2) am echanism for autonomously recovering faulty nodes so that the campaign can continue running on a target system that is fully functional. As ac ase study we use this infrastructure to validate a Byzantine-fault-tolerant cluster manager.O ver 1280 hours of fault injections yielded the exposure of 11 unique flaws in the cluster manager.

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“…ORCHESTRA [Dawson et al 1996a, Dawson et al 1996b] se ha desarrollado en la Universidad de Michigan, para su aplicación a sistemas distribuidos en tiempo real. ORCHESTRA se implementa como un inyector de fallos a nivel de protocolo, instalándolo entre dos capas del protocolo de comunicaciones.…”

Section: Inyección De Fallos Implementada Mediante Softwareunclassified

“…La misión de esta nueva capa de inyección de fallos (Protocol Fault Injector -PFI-layer) es interceptar y manipular los mensajes que pasan a su través. En [Dawson et al 1996a, Dawson et al 1996b] se muestran los resultados de la aplicación de ORCHESTRA a dos sistemas (protocolos): una aplicación de video-conferencia en tiempo real sobre Real-Time Mach y servicio de pertenencia a grupo sobre un sistema operativo Sun Solaris.…”

Section: Inyección De Fallos Implementada Mediante Softwareunclassified

Contribución a la validación de sistemas complejos tolerantes a fallos en la fase de diseño. Nuevos modelos de fallos y técnicas de inyección de fallos.

Calvo¹,

Carlos²

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Testing of fault-tolerant and real-time distributed systems via protocol fault injection

Cited by 83 publications

References 19 publications

Trustworthy Evaluation of a Safe Driver Machine Interface through Software-Implemented Fault Injection

Trustworthy Evaluation of a Safe Driver Machine Interface through Software-Implemented Fault Injection

Using Virtualization to Validate Fault-Tolerant Distributed Systems

Contribución a la validación de sistemas complejos tolerantes a fallos en la fase de diseño. Nuevos modelos de fallos y técnicas de inyección de fallos.

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