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Maximizing Error In...
Maximizing Error Injection Realism for Chaos Engineering with System Calls
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- Zhang, Long (författare)
- KTH,Teoretisk datalogi, TCS,ASSERT
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Morin, Brice (författare)
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- Baudry, Benoit (författare)
- KTH,Programvaruteknik och datorsystem, SCS
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- Monperrus, Martin (författare)
- KTH,Teoretisk datalogi, TCS
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2021
- 2021
- Engelska.
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Ingår i: IEEE Transactions on Dependable and Secure Computing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1545-5971 .- 1941-0018.
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this paper, we present a novel fault injection framework for system call invocation errors, called Phoebe. Phoebe is unique as follows; First, Phoebe enables developers to have full observability of system call invocations. Second, Phoebe generates error models that are realistic in the sense that they mimic errors that naturally happen in production. Third, Phoebe is able to automatically conduct experiments to systematically assess the reliability of applications with respect to system call invocation errors in production. We evaluate the effectiveness and runtime overhead of Phoebe on two real-world applications in a production environment. The results show that Phoebe successfully generates realistic error models and is able to detect important reliability weaknesses with respect to system call invocation errors. To our knowledge, this novel concept of "realistic error injection", which consists of grounding fault injection on production errors, has never been studied before.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Nyckelord
- fault injection
- system call
- chaos engineering
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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