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Titlebook: Dependability Problems of Complex Information Systems; Wojciech Zamojski,Jaros?aw Sugier Conference proceedings 2015 Springer Internationa

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31#
發(fā)表于 2025-3-26 21:14:26 | 只看該作者
32#
發(fā)表于 2025-3-27 03:54:06 | 只看該作者
Storstr?m und K?nigin-Luise-Landis chapter we describe two techniques that can be adopted to deal with those uncertainties. The first technique is based on Event Tree heuristic distance metrics. It allows to generate warnings whenever a threat scenario is detected and it is similar to the ones in the knowledge base repository. The
33#
發(fā)表于 2025-3-27 06:22:23 | 只看該作者
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發(fā)表于 2025-3-27 09:28:47 | 只看該作者
35#
發(fā)表于 2025-3-27 13:52:43 | 只看該作者
2194-5357 nmore from complexity of the information processes (data processing, monitoring, resource allocation, dynamic reconfiguration, etc.) which are realized in the operational, often hostile environment. Furthermore978-3-319-08963-8978-3-319-08964-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
36#
發(fā)表于 2025-3-27 19:07:33 | 只看該作者
37#
發(fā)表于 2025-3-27 22:58:54 | 只看該作者
38#
發(fā)表于 2025-3-28 05:10:22 | 只看該作者
Kontakt und Vertrauen aufbauen,of the structure function can provide a suitable tool for scenarios of uncertainty and indeterminacy about functioning of a system for the next task. We embed this generalization into the survival signature, leading to a more flexible tool for quantification of the system reliability and related measures of dependability.
39#
發(fā)表于 2025-3-28 07:18:31 | 只看該作者
,Messung CD34+ h?matopoetischer Stammzellen,es network which takes into account possible path reconfigurations. We also define a network dependability parameter which evaluates network efficiency by finding the degree of task losses among all the jobs being executed in the network.
40#
發(fā)表于 2025-3-28 12:55:13 | 只看該作者
Functional-Reliability Model of a Services System with Path Reconfiguration Ability,es network which takes into account possible path reconfigurations. We also define a network dependability parameter which evaluates network efficiency by finding the degree of task losses among all the jobs being executed in the network.
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