References
- The Raw Failure Data. Los Alamos National Laboratory. Accessed May 14, 2012. http://www.lanl.gov/projects/computersciencedata/, 2012.
- B. Schroeder and G.A. Gibson, "A Large-Scale Study of Failures in High-Performance Computing Systems," IEEE Trans. Dependable Secure Comput., vol. 7, no. 4, Oct.-Dec. 2010, pp. 337-350. https://doi.org/10.1109/TDSC.2009.4
- B. Schroeder and G.A. Gibson, "A Large-Scale Study of Failures in High-Performance-Computing Systems," Proc. Dependable Syst. Netw., Pennsylvania, PA, USA, June 25-28, 2006, pp. 249-258.
- R.K. Sahoo et al., "Failure Data Analysis of a Large-Scale Heterogeneous Server Environment," Proc. Dependable Syst. Netw., Florence, Italy, June 28- July 1, 2004, pp. 772-781.
- L. Yawei et al., "Fault-Aware Runtime Strategies for High-Performance Computing," IEEE Trans. Parallel Distrib. Syst., vol. 20, no. 4, Apr. 2009, pp. 460-473. https://doi.org/10.1109/TPDS.2008.128
- N. Nakka, A. Agrawal, and A. Choudhary, "Predicting Node Failure in High Performance Computing Systems from Failure and Usage Logs," IEEE Int. Symp. Parallel Distrib. Process. Workshops Phd Forum, Shanghai, China, May 16-20, 2011, pp. 1557-1566.
- G. Gibson, B. Schroeder, and J. Digney, "Failure Tolerance in Petascale Computers," CTWatch Quarterly, vol. 3, no. 4, Nov. 2007, pp. 4-10.
- S.E. Michalak et al., "Predicting the Number of Fatal Soft Errors in Los Alamos National Laboratory's ASC Q Supercomputer," IEEE Trans. Device Mater. Rel., vol. 5, no. 3, Sept. 2005, pp. 329-335. https://doi.org/10.1109/TDMR.2005.855685
- Y. Yuan et al., "Job Failures in High Performance Computing Systems: A Large-Scale Empirical Study," Comput. Math. Appl., vol. 63, no. 2, Jan. 2012, pp. 365-377. https://doi.org/10.1016/j.camwa.2011.07.040
- H. Jin and X.-H. Sun, "Performance Comparison under Failures of MPI and MapReduce: An Analytical Approach," Future Generation Comput. Syst., vol. 29, no. 7, Sept. 2013, pp. 1808-1815. https://doi.org/10.1016/j.future.2013.01.013
- M. Sharifi and S.A. Hamedi, "Failure Prediction Mechanisms in Cluster Systems," Int. Conf. Biocomput., Bioinformat. Biomed. Technol., Bucharest, Romania, June 29-July 5, 2008, pp. 23-28.
- N. Taerat et al., "Proficiency Metrics for Failure Prediction in High Performance Computing," Int. Symp. Parallel Distrib. Process. Appl., Taipei, Taiwan, Sept. 6-9, 2010, pp. 491-498.
- J. Brandt et al., "Quantifying Effectiveness of Failure Prediction and Response in HPC Systems: Methodology and Example," Int. Conf. Dependable Syst. Netw. Workshops, Chicago, IL, USA, June 28-July 1, 2010, pp. 2-7.
- Z. Pawlak, "Rough Sets," Int. J. Comput. Inf. Sci., vol. 11, no. 5, Oct. 1982, pp. 341-356. https://doi.org/10.1007/BF01001956
- G. Alfredo et al., "A New Proposal for Multi-objective Optimization Using Differential Evolution and Rough Sets Theory," Genetic Evol. Comput. Conf., Seattle, WA, USA, July 8-12, 2006, pp. 675-682.
- D. Shawky, " The Application of Rough Sets Theory as a Tool for Analyzing Dynamically Collected Data," J. Eng. Appl. Sci., Cairo University, vol. 55, no. 6, Nov. 2008, pp. 473-490.
- B. Suraj, "Rough Set Methods for the Synthesis and Analysis of Concurrent Processes," in Studies Fuzziness Soft Comput., Heidelberg, Germany: Springer, 2000, pp. 379-488.
- J. Komorowski et al., "Rough Sets: A Tutorial," in Rough Fuzzy Hybridization: A New Trend in Decision Making, Singapore: Springer, 1999, pp. 3-98.
- J. Liang, Z. Shi, and D. Li, "Applications of Inclusion Degree in Rough Set Theory," Int. J. Comput. Cognition, vol. 1, no. 2, June 2003, pp. 67-78.
- Z. Pawlak, "Rough Sets" in Rough Sets Data Mining, Dordrecht, Netherlands: Kluwer Academic Publisher, 1997, pp. 3-7.
- J. Hampton, "Rough Set Theory: The Basics (Part 1)," J. Comput. Intell. Finance, vol. 5, no. 6, Jan.-Feb. 1997, pp. 25-29.
- X. Hu, T. Lin, and J. Han, "A New Rough Sets Model Based on Database Systems," Fundam. Informat., vol. 59, no. 2-3, Apr. 2004, pp. 125-152.
- ROSE2, Rough Sets Data Explorer. Laboratory of Intelligent Decision Support Systems. Poznan University of Technology, Poland. Accessed Jan. 22, 2012. http://idss.cs.put.poznan.pl/site/
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