Abstract
Checksum-based approaches can provide fault tolerance with lower overhead than general techniques. When there is a need for handling multiple simultaneous failures, real number coefficients are required to create multiple checksums. However, the exact solution for coefficients that will introduce the least amount of error is not known, and a method is required to generate usable coefficients. In this paper, we use an evolutionary algorithm to create coefficients with good numerical stability while using as little computation time as possible.
Original language | English |
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Title of host publication | Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015 |
Pages | 611-616 |
Number of pages | 6 |
ISBN (Electronic) | 9781479989362 |
DOIs | |
State | Published - Nov 23 2015 |
Event | 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 - New York, United States Duration: Aug 24 2015 → Aug 26 2015 |
Publication series
Name | Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015 |
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Conference
Conference | 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 |
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Country/Territory | United States |
City | New York |
Period | 8/24/15 → 8/26/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Evolutionary computation
- Fault tolerance
- Fault tolerant systems
- Numerical stability
- Simulated annealing
- Sociology
- Statistics
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Computer Networks and Communications