FIONNA: a fault injector for dependability evaluation of java-based network applications

Jacques-Silva, Gabriela; Drebes, Roberto Jung; Gerchman, Júlio; Weber, Taisy Silva

doi:10.1109/nca.2004.1347791

Cited by 16 publications

(17 citation statements)

References 8 publications

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“…We do not consider faults caused by transmission errors in the physical layer -injection for this type of communication fault is already addressed by previous work such as [8,3,9,14]. That means messages are not corrupted or lost in the communication channel, but are indeed generated containing incorrect data or are not sent.…”

Section: Interaction Faults and Inconsistent Valuesmentioning

confidence: 99%

“…Fault injection has been used in several domains, such as fault-tolerant systems [15,13], parallel computers [3,14], distributed systems [8,9] and databases [19]. Different types of faults have been addressed, including hardware [15], software [12,16,17,13], operator [4,19] and even communication faults in a more general sense [8,3,9,14].…”

Section: Related Workmentioning

confidence: 99%

“…Different types of faults have been addressed, including hardware [15], software [12,16,17,13], operator [4,19] and even communication faults in a more general sense [8,3,9,14]. Even though most existing tools focus on specific domains (e.g.…”

Section: Related Workmentioning

confidence: 99%

“…Some work also address communication faults in parallel or distributed systems [3,8,9,14], usually aiming at transmission errors in the transport or lower layers. In this paper, we also consider networked systems, but address the injection of interaction faults -i.e.…”

Section: Introductionmentioning

confidence: 99%

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Injecting Inconsistent Values Caused by Interaction Faults for Experimental Dependability Evaluation

Nassu

Uehara

Nanya

2008

2008 Seventh European Dependable Computing Conference

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Interaction faults caused by a flawed external system designed by a third party are a major issue faced by interconnected systems. Fault injection is a valuable tool for evaluating the dependability of such scenarios. Several types of errors caused by interaction faults may be injected by existing approaches, even though previous work focused on other types of faults, such as hardware and software faults. This is not the case of inconsistent values -data that is correctly received and syntactically correct, but inconsistent with what it should represent. In this paper, we propose a novel methodology to inject inconsistent values caused by interaction faults, including hand-defined, random and semantically significant values. We also describe a simulation tool which implements the proposed mechanism to aid dependability evaluation in a system that uses the Universal Plug and Play standard to communicate.

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Section: Interaction Faults and Inconsistent Valuesmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Injecting Inconsistent Values Caused by Interaction Faults for Experimental Dependability Evaluation

Nassu

Uehara

Nanya

2008

2008 Seventh European Dependable Computing Conference

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“…Its implementation is inspired by a monitoring architecture for distributed computing. In FIONA's original version, presented in [8], only a local architecture was considered. Both versions use JVMTI [16], a new native programming interface of the Java platform that enables the development of debugging and monitoring tools, as an approach for fault injection.…”

Section: Introductionmentioning

confidence: 99%

A Network-Level Distributed Fault Injector for Experimental Validation of Dependable Distributed Systems

Jacques-Silva¹,

Drebes²,

Gerchman³

et al. 2006

30th Annual International Computer Software and Applications Conference (COMPSAC'06)

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The use of Java for distributed systems and highavailable applications demands the validation of their fault tolerance mechanisms to avoid unexpected behavior during execution. We present an extension of FIONA (Fault Injector Oriented to Network Applications), a fault injection environment to experimentally validate the dependability of distributed Java applications. The main features of this extension are: its distributed architecture, which allows centralized configuration of multiple faults scenarios, and the support for a wider fault model associated with distributed systems, which includes network partitioning. For monitoring, FIONA supports the collection of log information and includes a helper application to integrate this information in a global log for post-mortem dependability analysis. FIONA is simple to operate, and we expect it will facilitate the conduction of validation experiments by application developers and testers.

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Analyzing fault behavior of shared data in parallel applications

2016

Microprocessors and Microsystems

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FIONNA: a fault injector for dependability evaluation of java-based network applications

Cited by 16 publications

References 8 publications

Injecting Inconsistent Values Caused by Interaction Faults for Experimental Dependability Evaluation

Injecting Inconsistent Values Caused by Interaction Faults for Experimental Dependability Evaluation

A Network-Level Distributed Fault Injector for Experimental Validation of Dependable Distributed Systems

Analyzing fault behavior of shared data in parallel applications

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