By Hans Daduna, Lars Peter Saul (auth.), Jens B. Schmitt (eds.)

ISBN-10: 3642285392

ISBN-13: 9783642285394

This e-book constitutes the refereed complaints of the sixteenth overseas GI/ITG convention on size, Modeling and evaluate of Computing structures and Dependability and Fault Tolerance, MMB & DFT 2012, held in Kaiserslautern, Germany, in March 2012.
The sixteen revised complete papers awarded including five instrument papers and five chosen workshop papers have been conscientiously reviewed and chosen from fifty four submissions. MMB & DFT 2012 covers varied elements of functionality and dependability evaluate of structures together with networks, machine architectures, disbursed platforms, software program, fault-tolerant and safe systems.

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Extra info for Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance: 16th International GI/ITG Conference, MMB & DFT 2012, Kaiserslautern, Germany, March 19-21, 2012. Proceedings

Sample text

Our model becomes the constant retrial queue with an infinite population in which customers arrive according to a Poisson process at rate Kα. In this case, we let M → ∞ in Eqs. (12), (14) and (16) and obtain Kα (1 − ρ)ρj , j = 0, 1, 2, . . Kα + θ(1 − δj0 ) Kα (1 − ρ)ρj , j = 0, 1, 2, . . = μ p0j = (24) p1j (25) where δji is Kronecker’s delta being 1 if j = i and 0 otherwise, and ρ = Kα(Kα+θ) . Eqs. 11) in [6] for μθ r = 1 and λ = Kα. , C(0) = 0, N (0) = 0, and one of them just generates a request for service which initiates a busy period.

K terminal network reliability measures with binary decision diagrams. IEEE Trans. Reliability 56(3), 506–515 (2007) 6. : Exact stochastic simulation of coupled chemical reactions. Journal of Physical Chemistry 81(25), 2340–2361 (1977) 7. : Process algebra for performance evaluation. Theoretical Computer Science Archive 274(1-2), 43–87 (2002) 8. : Diftree: a software package for the analysis of dynamic fault tree models. In: RAMS (1997) 9. : Galileo: A tool built from mass-market applications.

22) (23) n=1 where pn is defined as the probability that the there are n customers in the system (including the one being served). We can see Eqs. (22) and (23) agree with equations (17) and (19) in [12] for r = 1. Remark 2. , our model becomes the constant retrial queue with an infinite population in which customers arrive according to a Poisson process at rate Kα. In this case, we let M → ∞ in Eqs. (12), (14) and (16) and obtain Kα (1 − ρ)ρj , j = 0, 1, 2, . . Kα + θ(1 − δj0 ) Kα (1 − ρ)ρj , j = 0, 1, 2, .

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Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance: 16th International GI/ITG Conference, MMB & DFT 2012, Kaiserslautern, Germany, March 19-21, 2012. Proceedings by Hans Daduna, Lars Peter Saul (auth.), Jens B. Schmitt (eds.)


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