Implementation of the Conversation Scheme in Message-Based Distributed Computer Systems
IEEE Transactions on Parallel and Distributed Systems
Approaches for System-Level Fault Tolerance in Distributed Real-Time Computer Systems
Fehlertolerierende Rechensysteme / Fault-Tolerant Computing Systems, Automatisierungssysteme, Methoden, Anwendungen / Automation Systems, Methods, Applications; 4. Internationale GI/ITG/GMA-Fachtagung
A program structure for error detection and recovery
Operating Systems, Proceedings of an International Symposium
Fault-tolerance and fault-intolerance: Complementary approaches to reliable computing
Proceedings of the international conference on Reliable software
Approaches to Mechanization of the Conversation Scheme Based on Monitors
IEEE Transactions on Software Engineering
A Framework for Software Fault Tolerance in Real-Time Systems
IEEE Transactions on Software Engineering
The N-Version Approach to Fault-Tolerant Software
IEEE Transactions on Software Engineering
On distribution of coordinated atomic actions
ACM SIGOPS Operating Systems Review
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Of several schemes proposed to handle the propagation of erroneous information among interacting processes in distributed and parallel computer systems, the distributed real-time conversation (DRC) scheme stands out in its fast forward recovery capability which is essential in safety-critical hard-real-time applications. However, previous formulations of the scheme remained at relatively abstract levels and practical models for their implementation in complex safety-critical real-time applications have not been established before. The core approach in the DRC scheme is to make a group of computing stations cooperate in recovery from hardware and software faults that may occur during their interaction. In this paper, we present a practical implementation model for the DRC scheme. A simple model of an anti-missile defense system is used to illustrate the main structuring principles of the DRC scheme and major components of the practical implementation model.