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Highly Reliable Linux HPC Clusters: Self-Awareness Approach.

Leangsuksun, Chokchai; Liu, Tong; Liu, Yudan; Scott, Stephen L.; Libby, Richard; Haddad, Ibrahim

In: Jiannong Cao, Laurence T. Yang, Minyi Guo, et al. (Eds.): Lecture Notes in Computer Science, Vol. 3358: Parallel and Distributed Processing and Applications: Second International Symposium, ISPA 2004, Hong Kong, China, December 13-15, 2004, pages 217-222. Springer-Verlag, 2004.

Abstract: Current solutions for fault-tolerance in HPC systems focus on dealing with the result of a failure. However, most are unable to handle runtime system configuration changes caused by transient failures and require a complete restart of the entire machine. The recently released HA-OSCAR software stack is one such effort making inroads here. This paper discusses detailed solutions for the high-availability and serviceability enhancement of clusters by HA-OSCAR via multi-head-node failover and a service level fault tolerance mechanism. Our solution employs self-configuration and introduces Adaptive Self Healing (ASH) techniques. HA-OSCAR availability improvement analysis was also conducted with various sensitivity factors. Finally, the paper also entails the details of the system layering strategy, dependability modeling, and analysis of an actual experimental system by a Petri net-based model, Stochastic Reword Net (SRN).

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