H. Madeira and P. Koopman. Dependability Benchmarking: making choices in an n-dimensional problem space. 1st Workshop on Evaluating and Architecting System dependabilitY (EASY '01), Gteborg, Sweden, 2001. Home/Search Document Details and Download
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Workshop on Dependability Benchmarking - Koopman, Madeira (2002) (Correct)
....IL, USA, 1989, pp. 356 363 (IEEE CS Press) 8] A.M. Amendola, L. Impagliazzo, P. Marmo and F. Poli, Experimental Evaluation of ComputerBased Railway Control Systems , in Proc. 27th Int. Conf. on Fault Tolerant Computing Systems (FTCS 27) Seattle, WA, USA, 1997, pp. 380 384 (IEEE CS Press) [9] C. Constantinescu, Validation of the Fault Error Handling Mechanisms of the Teraflops Supercomputer , in Proc. 28th Int. Syrup. on FaultTolerant Computing (FTCS 28) Munich, Germany, 1998, pp. 382 389 (IEEE CS Press) 10] H. Madeira, R. Some, F. Moreira, D. Costa and D. Rennels, Experimental ....
Madeira, H. and P. Koopman. "Dependability Benchmarking: making choices in an n-dimensional problem space." Proc. 1st Workshop on Evaluating and Architecting System dependability (EASY 'el), G6teborg, Sweden, July 2001.
Failure from the Field: Complexity Kills - George Herbe Rt (Correct)
....service provided by a computer system or environment. A failure is defined as an individual event which causes or is one of the causes of an outage. We categorize system outages in two independent dimensions: cause and complexity. Cause has been addressed in a number of studies, both academic [4] and applied [1] 5] The major failure event categories identified in the dependability literature to date include Hardware, Sotvare, Human Error, Process, Environment, Security, External, Planned Downtime, and Design. Table 1 includes two sources estimated failure distribution allocation among ....
....assertions. At the high end, this would work to understand the overall complexity problem and suggest ways to address it. One risk is that the community may focus in between. As noted in Dependability benchmarking: making decisions in an n dimensionalproblem space in the EASY 1 proceedings [4], creating a benchmarking framework for end to end system dependability includes defining the dimensions of interest in analyzing the problem. However, one must consider carefully the implications of excluding some dimensions of interest to the problem as well. Madeira and Koopman specifically ....
H. Madeira and P. Koopman, "Dependability Benchmarking: making choices in an n-dimensional problem space", EASY-1 workshop, 2001.
Experience with Evaluating Human-Assisted Recovery Processes - Aaron Brown Leonard (Correct)
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H. Madeira and P. Koopman. Dependability Benchmarking: making choices in an n-dimensional problem space. 1st Workshop on Evaluating and Architecting System dependabilitY (EASY '01), Gteborg, Sweden, 2001.
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