GemFI: A Fault Injection Tool for Studying the Behavior of Applications on Unreliable Substrates

Parasyris, Konstantinos; Tziantzoulis, Georgios; Antonopoulos, Christos D.; Bellas, Nikolaos

doi:10.1109/dsn.2014.96

Cited by 59 publications

(35 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors of [41] proposed a fault injection framework on a microarchitectural simulator to perform dependability analysis. In [30] a fault injection tool based on the cycle accurate full system simulator Gem5 is proposed. Authors of [14] propose a technique to reduce the fault simulation time through grouping error simulations that produce same intermediate execution state.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Versatile architecture-level fault injection framework for reliability evaluation: A first report

Foutris

Kaliorakis

Tselonis

et al. 2014

2014 IEEE 20th International on-Line Testing Symposium (IOLTS)

View full text Add to dashboard Cite

Forthcoming technologies hold the promise of a significant increase in integration density, performance and functionality. However, a dramatic change in microprocessor's reliability is also expected. Developing mechanisms for early and accurate reliability estimation will save significant design effort, resources and consequently will positively impact product's timeto-market (TTM). In this paper, we propose a versatile architecture-level fault injection framework, built on top of a state-of-the-art x86 microprocessor simulator, for thorough and fast characterization of a wide range of hardware components with respect to various fault models.

show abstract

Section: Resultsmentioning

confidence: 99%

“…[42] [23] Arch. injection [9] [41] [30] ACE analysis [26] [27] Probabilistic models [20] In this paper, we propose a comprehensive architecturelevel fault injection framework for early reliability estimation of x86 microprocessors. The proposed framework:…”

Section: Techniquesmentioning

confidence: 99%

Versatile architecture-level fault injection framework for reliability evaluation: A first report

Foutris

Kaliorakis

Tselonis

et al. 2014

2014 IEEE 20th International on-Line Testing Symposium (IOLTS)

View full text Add to dashboard Cite

show abstract

“…The kinds of failures that can be injected vary depending on the considered dependability aspect. For example, injecting processor errors or hardware-based errors is often done for evaluating the dependability of operating systems [16], [25]. Injecting connection errors between different micro-services supports to test a service's retry logic and its robustness of interacting with other services [6].…”

Section: A Fault Injectionmentioning

confidence: 99%

TripleAgent: Monitoring, Perturbation and Failure-Obliviousness for Automated Resilience Improvement in Java Applications

Zhang

Monperrus

2019

2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE)

View full text Add to dashboard Cite

In this paper, we present a novel resilience improvement system for Java applications. The unique feature of this system is to combine automated monitoring, automated perturbation injection, and automated resilience improvement. The latter is achieved thanks to the failure-oblivious computing, a concept introduced in 2004 by Rinard and colleagues. We design and implement the system as agents for the Java virtual machine. We evaluate the system on two real-world applications: a file transfer client and an email server. Our results show that it is possible to automatically improve the resilience of Java applications with respect to uncaught or mishandled exceptions.

show abstract

“…These methods operate at a low level, and can inject faults into the architectural state, i.e., machine state that are accessible by software, such as memory and registers, or into the microarchitectural state like pipeline logic (such as latches and RAM cells). As examples of architectural-level injectors, Parasyris et al [26] show a framework to inject soft errors using the Gem5 simulator, and Sanda et al [29] describe how soft errors are injected into the IBM Mambo architectural simulator to evaluate the resilience of the POWER6 microprocessor chip. Examples of the microarchitecturallevel injections are shown in [22,38,39].…”

Section: Background and Related Workmentioning

confidence: 99%

Refine

Georgakoudis

Laguna

Nikolopoulos

et al. 2017

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

View full text Add to dashboard Cite

Compiler-based fault injection (FI) has become a popular technique for resilience studies to understand the impact of soft errors in supercomputing systems. Compiler-based FI frameworks inject faults at a high intermediate-representation level. However, they are less accurate than machine code, binary-level FI because they lack access to all dynamic instructions, thus they fail to mimic certain fault manifestations. In this paper, we study the limitations of current practices in compiler-based FI and how they impact the interpretation of results in resilience studies.We propose REFINE, a novel framework that addresses these limitations, performing FI in a compiler backend. Our approach provides the portability and efficiency of compiler-based FI, while keeping accuracy comparable to binary-level FI methods. We demonstrate our approach in 14 HPC programs and show that, due to our unique design, its runtime overhead is significantly smaller than state-ofthe-art compiler-based FI frameworks, reducing the time for large FI experiments. CCS CONCEPTS• Computing methodologies → Simulation tools; Model verification and validation; • Software and its engineering → Compilers; • Hardware → Analysis and design of emerging devices and systems;

show abstract

GemFI: A Fault Injection Tool for Studying the Behavior of Applications on Unreliable Substrates

Cited by 59 publications

References 12 publications

Versatile architecture-level fault injection framework for reliability evaluation: A first report

Versatile architecture-level fault injection framework for reliability evaluation: A first report

TripleAgent: Monitoring, Perturbation and Failure-Obliviousness for Automated Resilience Improvement in Java Applications

Refine

Contact Info

Product

Resources

About