System-level modeling in the ADEPT environment of a distributed computer system for real-time applications

Ghosh, Abhijit; Johnson, B.W.; Profeta, J.A.

doi:10.1109/ipds.1995.395832

Cited by 16 publications

(10 citation statements)

References 13 publications

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“…A number of simulation tools can model system hardware and, to some degree, the software executing on the system. REACT, MEFISTO, and ADEPT are examples of these tools 14, 15,16]. To our knowledge, however, none of these tools can explicitily simulate the change in software behavior.…”

Section: Related Workmentioning

confidence: 99%

Dependability analysis of a high-speed network using software-implemented fault injection and simulated fault injection

Stott

Ries²,

Hsueh³

et al. 1998

IEEE Trans. Comput.

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This paper presents a dependability study of high-speed, switched Local Area Networks (LANs) using Myrinet as an example testbed (with theoretical speeds of 2.56 Gbps). The study uses results of two fault injection methods, simulated fault injection and softwareimplemented fault injection (SWIFI), to analyze the application-level impact of transient faults injected into the network interface hardware. These results include a number of errors such as dropped or corrupt messages, host interface or host resets, and local or remote host interface hangs. The paper presents the study in two parts: First, the results from the SWIFI method in the real system are used as a basis to validate the simulation and identify the major factors leading to di erences between the methods. A comparison between the two injection methods shows that they agree for 83% of the fault injections. The results, however, vary greatly depending on the fault type considered. The study presents an analysis of the e ects of varying workload intensity, host platform, and interface function targeted by the injection. An example of this analysis is to show that the function targetted has a signi cant impact on the fault activation rate. Finally, the study identi es two mechanisms by which faults may propagate from the interface to other parts of the network; in one example, this propagation caused the interface's host computer to reboot while another caused a remote interface in the network to hang.

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Section: Related Workmentioning

confidence: 99%

Dependability analysis of a high-speed network using software-implemented fault injection and simulated fault injection

Stott

Ries²,

Hsueh³

et al. 1998

IEEE Trans. Comput.

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show abstract

“…ADEPT (Advanced Design Environment Prototype Tool) is an environment for designing dependable systems by supporting hierarchical design from system-level abstraction down to the instruction-set architecture level and gate level [Ghosh et al 1995;Aylor et al 1992]. ADEPT contains a library of building blocks called ADEPT modules.…”

Section: Related Workmentioning

confidence: 99%

Performance and dependability evaluation of scalable massively parallel computer systems with conjoint simulation

Hein

Cin

1998

ACM Trans. Model. Comput. Simul.

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Computer systems are becoming more and more a part of our daily life; business and industry rely on their service, and the health of human beings depends on their correct functioning. Computer systems used for critical tasks have to be carefully designed and tested during the early design stage, the prototype phase, and their operational life. Methods and tools are required to support and facilitate this vital task. In this article, we tackle the issue of system-level performance and dependability analysis of fault-tolerant scalable computer systems. A modeling methodology called "Conjoint Simulation" is presented, which is based on the partitioning of the system model and the combination of several modeling techniques. Object-oriented model construction and process-based simulation are applied for architecture and workload modeling, and timed Petri nets are the core modeling technique representing the failure scenarios and repair policies. Splitting the overall model and exploiting appropriate modeling techniques ease the development, maintenance, and extensibility of large-scale and complex simulation models. Furthermore, techniques are provided for hierarchical model construction, object-oriented workload modeling, and simulated error injection in order to perform combined performance and dependability analysis.

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“…Several related studies have addressed the issue of supporting the design of dependable systems by means of simulation ( [2,3,5,6]). Although these approaches are generally supported by efficient tools, these tools are not designed to be included in the design process.…”

Section: Introductionmentioning

confidence: 99%

An Investigation on Mutation Strategies for Fault Injection into RDD-100 Models

Kaâniche

Guédart

Arlat

et al. 2001

Computer Safety, Reliability and Security

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System-level modeling in the ADEPT environment of a distributed computer system for real-time applications

Cited by 16 publications

References 13 publications

Dependability analysis of a high-speed network using software-implemented fault injection and simulated fault injection

Dependability analysis of a high-speed network using software-implemented fault injection and simulated fault injection

Performance and dependability evaluation of scalable massively parallel computer systems with conjoint simulation

An Investigation on Mutation Strategies for Fault Injection into RDD-100 Models

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