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Performance Implications of Periodic Checkpointing on Large-Scale Cluster Systems

9 years 5 months ago
Performance Implications of Periodic Checkpointing on Large-Scale Cluster Systems
Large-scale systems like BlueGene/L are susceptible to a number of software and hardware failures that can affect system performance. Periodic application checkpointing is a common technique for mitigating the amount of work lost due to job failures, but its effectiveness under realistic circumstances has not been studied. In this paper, we analyze the system-level performance of periodic application checkpointing using parameters similar to those projected for BlueGene/L systems. Our results reflect simulations on a toroidal interconnect architecture, using a real job log from a machine similar to BlueGene/L, and with a real failure distribution from a large-scale cluster. Our simulation studies investigate the impact of parameters such as checkpoint overhead and checkpoint interval on a number of performance metrics, including bounded slowdown, system utilization, and total work lost. The results suggest that periodic checkpointing may not be an effective way to improve the average...
Adam J. Oliner, Ramendra K. Sahoo, José E.
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where IPPS
Authors Adam J. Oliner, Ramendra K. Sahoo, José E. Moreira, Meeta Sharma Gupta
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