Performance considerations for the reliability analysis of computing systems.
Performance considerations for the reliability analysis of computing systems.
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Stress-Based and Path-Based Fault Injection
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Tolerance to Multiple Transient Faults for Aperiodic Tasks in Hard Real-Time Systems
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The Effect of Workload on the Performance and Availability of Voting Algorithms
MASCOTS '95 Proceedings of the 3rd International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
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The Interplay of Power Management and Fault Recovery in Real-Time Systems
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Energy management for real-time embedded systems with reliability requirements
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FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
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Exact Fault-Sensitive Feasibility Analysis of Real-Time Tasks
IEEE Transactions on Computers
Exploring event correlation for failure prediction in coalitions of clusters
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Cluster Computing
Enhanced reliability-aware power management through shared recovery technique
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CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
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Reliability-aware dynamic energy management in dependable embedded real-time systems
ACM Transactions on Embedded Computing Systems (TECS)
FTCS'95 Proceedings of the Twenty-Fifth international conference on Fault-tolerant computing
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CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
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Proceedings of the Conference on Design, Automation and Test in Europe
Journal of Systems and Software
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This paper demonstrates a practical approach to the study of the failure behavior of computer systems. Particular attention is devoted to the analysis of permanent failures. A number of important techniques, which may have general applicability in both failure and workload analysis, are brought together in this presentation. These include: smeared averaging of the workload data, clustering of like failures, and joint analysis of workload and failures. Approximately 17 percent of all failures affecting the CPU were estimated to be permanent. The manifestation of a permanent failure was found to be strongly correlated with the level and type of workload prior to the failure. Although, in strict terms, the results only relate to the manifestation of permanent failures and not to their occurrence, there are strong indications that permanent failures are both caused and discovered by increased activity. More measurements and experiments are necessary to determine their respective contributions to the measured workload/failure relationship.