Fehlertolerierende Rechensysteme / Fault-Tolerant Computing by Nancy G. Leveson (auth.), F. Belli, W. Görke (eds.)

By Nancy G. Leveson (auth.), F. Belli, W. Görke (eds.)

Dieser Band enthält die 38 Beiträge der three. GI/ITG/GMA-Fachtagung über "Fehlertolerierende Rechensysteme". Unter den 10 aus dem Ausland eingegangenen Beiträgen sind four eingeladene Vorträge. Insgesamt dokumentiert dieser Tagungsband die Entwicklung der Konzeption und Implementierung fehlertoleranter Systeme in den letzten drei Jahren vor allem in Europa. Sämtliche Beiträge sind neue Forschungs- oder Entwicklungsergebnisse, die vom Programmausschuß der Tagung aus 70 eingereichten Beiträgen ausgewählt wurden.

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Additional info for Fehlertolerierende Rechensysteme / Fault-Tolerant Computing Systems: 3. Internationale GI/ITG/GMA-Fachtagung / 3rd International GI/ITG/GMA Conference Bremerhaven, 9.–11. September 1987

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Die Mikroprozessorsysteme ten Hardware, ~omplexit~t schon del' f~r allein del' Mikroprozessor selbst, ben~tig­ fOhren die bisherige deterministische Fehlerbetrachtung ad absurdum. Hinzu kommt, daa die genaue interne Struktur von Mikroprozessoren und wirkung von Fehlern nicht bekannt sind. richtung gibt es nicht. Selbsttests des Mikroprozessors ergeben hohe Fehleraufdeckungsraten Doch die f~r Ausf~lle, Aus- Auch eine definierte Ausfalljedoch nicht fOr auch bei dieser Fehleraufdeckungsrate ist fOr Anlagen mit hohen Gefihrdungspotential das verbleibende Restrlsiko zu zwar St~rungen.

R. Oldenbourg Wien, Mtinchen 1959 Steinbuch/Rupprecht: Nachrichtentechnik. Band II: Nachrichtentibertragung. Springer Berlin, Heidelberg 1982 I. Eibl-Eibesfeldt: Die Biologie des menschlichen Verhaltens. Piper Mtinchen 1984 K. Lorenz: Die Rtickseite des Spiegels. versuch einer Naturgeschichte menschlichen Erkennens. Piper Mtinchen 1913 G. Vollmer: Evolutionare Erkenntnistheorie. Hirzel Stuttgart 1983 B. Gillam: Geometrical illusions. Scientific American (1980)1, 86-95 Leserbrief von H. Gropengie~er.

Programmers should learn the relevant rationales and rules of good programming [201 and they should be trained to maximum learning from available data including their own mistakes as those of the others. Some of the most promising techniques to overcome biased faults are - programming by rules [211 testing boundary conditions [221 feedback through defect records (learning from mistakes) [231. causal analysis. Programming by rules and testing boundary conditions are effective means against biased faults because these techniques allow to "focus the searchlight" on the critical points using feedback.

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