Abstract
This paper deals with problems arising in the scope of implementing distributed system self-diagnosis algorithms by employing simulation models. Two algorithms developed by Kuhl, Reddy and Hosseini, SELF 2 [1] and NEWSELF [2], were implemented and embedded into a simulated distributed computing system in order to analyse their usefulness, overhead and performance [3], Special attention was laid on synchronization of the diagnosis process executed by the system components. Dependence of system availability on some system self-diagnosis parameters was investigated as well. It became visible that the ratio of user available processing time highly depends on choosing proper test rates.
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© 1987 Springer-Verlag Berlin Heidelberg
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Paszota, F. (1987). Investigation of Distributed Algorithms for System Self-Diagnosis. In: Belli, F., Görke, W. (eds) Fehlertolerierende Rechensysteme / Fault-Tolerant Computing Systems. Informatik-Fachberichte, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45628-2_18
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DOI: https://doi.org/10.1007/978-3-642-45628-2_18
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