Failure prediction for HPC systems and applications: Current situation and open issues

International Journal of High Performance Computing Applications

Volumn 27, Issue 3, 2013, Pages 273-282

  Gainaru, Ana ^a   Cappello, Franck ^a,b   Snir, Marc ^a,c   Kramer, William ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b Rocquencourt   (France)

^c ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

failure prediction; fault tolerance; signal analysis

Indexed keywords

CLASSICAL APPROACH; CURRENT LIMITATION; CURRENT SITUATION; DIFFERENT DISTRIBUTIONS; FAILURE PREDICTION; HIGH PERFORMANCE COMPUTING SYSTEMS; PREDICTION SYSTEMS; PROACTIVE MEASURES;

ELECTRIC FAULT CURRENTS; FORECASTING; LARGE SCALE SYSTEMS; SIGNAL ANALYSIS;

FAULT TOLERANCE;

EID: 84881050143     PISSN: 10943420     EISSN: 17412846     Source Type: Journal    
DOI: 10.1177/1094342013488258     Document Type: Conference Paper

References (35)

1. Alam S Proceedings of 2008 International Conference for High Performance Computing, Networking, Storage and Analysis. 2008: p.
2. Aupy G, Robert Y, Vivien F, Zaidouni D Impact of Fault Prediction on Checkpointing Strategies. 2012:
3. Bautista-Gomez L, Tsuboi S, Komatitsch D, Cappello F, Maruyama N, Matsuoka S Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC '11). New York: ACM Press ; 2011: 1-32.
4. Bolander N, Qiu H, Eklund N, Hindle E, Rosenfeld T Conference of the Prognostics and Health Management Society. 2009:
5. Bouguerra MS, Gainaru A, Cappello F, Gomez LB, Maruyama N, Matsuoka S Proceedings of IEEE IPDPS 2013. IEEE Press ; 2013:
6. Chen MY, Accardi A, Kýcýman E, et al Symposium on Networked Systems Design and Implementation. 2004: 23.
7. DiMartino C International Conference on Dependable System and Networks. 2012: 1-12.
8. Farr W Handbook of Software Reliability Engineering. Highstown, NJ: McGraw-Hill ; 1996: 71-117.
9. Gainaru A, Cappello F, Kramer W Proceedings of IEEE IPDPS 2012. IEEE Press ; 2012 a:
10. Gainaru A, Cappello F, Snir M, Kramer W Proceedings of 2012 International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Press ; 2012b:
11. Gainaru A, Cappello F, Trausan-Matu S, Kramer B Proceedings of the 17th International Conference on Parallel Processing - Part I (Euro-Par'11). Berlin: Springer-Verlag ; 2011: 52-64.
12. Gertsbakh I Reliability Theory: With Applications to Preventive Maintenance. Berlin: Springer-Verlag ; 2000:
13. Gu J, Zheng Z, Lan Z, White J, Hocks E, Park B-H. Dynamic meta-learning for failure prediction in large-scale systems: A case study. Journal of Parallel and Distributed Computing. 2010 ; 6: 630-643
14. Heien E, Kondo D, Gainaru A, LaPine D, Kramer B, Cappello F Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis. New York: ACM Press ; 2011: 45.
15. Hwang AA, Stefanovici IA, Schroeder B. Cosmic rays don't strike twice: understanding the nature of dram errors and the implications for system design. SIGARCH Computer Architecture News. 2012 ; 40 (1). 111-122
16. Kindratenko V. Trends in high-performance computing. Computing in Science and Engineering. 2011 ; 3: 92-95
17. Liang Y. BlueGene/L failure analysis and prediction models. Proceedings of the International Conference on Dependable Systems and Networks. 2006 ;: 425-434
18. Lou J-G, Fu Q, Wang Y, Li J. Mining dependency in distributed systems through unstructured logs analysis. ACM SIGOPS Operating Systems Review. 2010 ; 44 (1). 91-96
19. Nakka N, Agrawal A, Choudhary A IEEE Workshop on Dependable Parallel, Distributed and Network-Centric Systems. IEEE Press ; 2011:
20. Nassar FA, Andrews DM. A methodology for analysis of failure prediction data. IEEE Real-Time Systems Symposium. 1985 ;: 160-166
21. Patra AP, Bidhar S, Kumar U. Failure prediction of rail considering rolling contact fatigue. International Journal of Reliability, Quality and Safety Engineering. 2010 ; 17: 167
22. Rajachandrasekar R, Besseron X, Panda DK. Monitoring and predicting hardware failures in HPC clusters with FTB-IPMI. International Parallel and Distributed Processing Symposium Workshops. 2012 ;:
23. Salfner F, Lenk M, Malek M. A survey of online failure prediction methods. Computing Surveys. 2010 ; 42: 1-42
24. Salfner F, Malek M. Using hidden semi-Markov models for effective online failure prediction. Symposium on Reliable Distributed Systems. 2007 ;: 161-174
25. Schroeder B, Gibson G. A large-scale study of failures in high-performance computing systems. IEEE Transactions on Dependable and Secure Computing. 2006 ; 7 (4). 337-351
26. SnirMGroppWKoggeP (2011) Exascale research: preparing for the post Moore era. Computer Science Whitepapers. Available at: https://www.ideals.illinois. edu/bitstream/handle/2142/25469/Exascale%20Research.pdf?sequence=2
27. Stearley J, Ballance R, Bauman L Workshop on Managing System Automatically and Dynamically. 2012: 155-192.
28. Vilalta R, Apte CV, Hellerstein JL, Ma S, Weiss SM. Predictive algorithms in the management of computer systems. IBM Systems Journal. 2002 ; 41: 461-474
29. Wang C, Talwar V, Schwan K, Ranganathan P. Online detection of utility cloud anomalies using metric distributions. Network Operations and Management Symposium. 2010 ;: 96-103
30. Xu W IEEE International Conference on Data Mining. 2009: 588-597.
31. Yu L, Zheng Z, Lan Z, Coghlan S IEEE Conference on Dependable Systems and Networks Workshops. 2011: 259-264.
32. Zheng GB, Shi L, Kale LV International Conference on Cluster Computing CLUSTER. New York: ACM Press ; 2004: 93-103.
33. Zheng Z, Lan Z, Gupta R, Coghlan S, Beckman P IEEE Conference on Dependable Systems and Networks Workshops. 2010: 15-22.
34. Zheng Z, Li Y, Lan Z IEEE International Conference on Cluster Computing. 2007: 322-330.
35. Zheng Z, Yu L Proceedings of the 2011 IEEE International Parallel and Distributed Processing Symposium. 2011: 840-851.