@inproceedings{3af20bd6b176415f9eca7e8f580477f5,
title = "Processor-level selective replication",
abstract = "We propose a processor-level technique called Selective Replication, by which the application can choose where in its application stream and to what degree it requires replication. Recent work on static analysis and fault-injection-based experiments on applications reveals that certain variables in the application are critical to its crash- and hang-free execution. If it can be ensured that only the computation of these variables is error-free, then a high degree of crash/hang coverage can be achieved at a low performance overhead to the application. The Selective Replication technique provides an ideal platform for validating this claim. The technique is compared against complete duplication as provided in current architecture-level techniques. The results show that with about 59% less overhead than full duplication, selective replication detects 97% of the data errors and 87% of the instruction errors that were covered by full duplication. It also reduces the detection of errors benign to the final outcome of the application by 17.8% as compared to full duplication.",
keywords = "Application-aware, Critical variable, Duplication, Error detection, Redundant hardware",
author = "Nithin Nakka and Karthik Pattabiraman and Ravishankar Iyer",
year = "2007",
month = nov,
day = "16",
doi = "10.1109/DSN.2007.75",
language = "English (US)",
isbn = "0769528554",
series = "Proceedings of the International Conference on Dependable Systems and Networks",
pages = "544--553",
booktitle = "Proceedings - 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2007",
note = "37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2007 ; Conference date: 25-06-2007 Through 28-06-2007",
}