ADFT: An Adaptive Framework for Fault Tolerance on Large Scale Systems using Application Malleability
- 作者：Cijo George ; cijo@ssl.serc.iisc.in ; Sathish S. Vadhiyar vss@serc.iisc.in
- 关键词：Fault Tolerance ; HPC ; Malleable Parallel Applications ; Large Scale Systems ; Rescheduling
- 刊名：Procedia Computer Science
- 出版年：2012
- 期刊代码：pc74_18770509
- 类别：cp
- 出版时间：2012
- 卷：9
- 期：Complete
- 页码：166-175
- 文件大小：266 K
摘要
Exascale systems of the future are predicted to have mean time between failures (MTBF) of less than one hour. Malleable applications, where the number of processors on which the applications execute can be changed during executions, can make use of their malleability to better tolerate high failure rates. We present AdFT, an adaptive fault tolerance framework for long running malleable applications to maximize application performance in the presence of failures. AdFT framework includes cost models for evaluating the benefits of various fault tolerance actions including checkpointing, live-migration and rescheduling, and runtime decisions for dynamically selecting the fault tolerance actions at different points of application execution to maximize performance. Simulations with real and synthetic failure traces show that our approach outperforms existing fault tolerance mechanisms for malleable applications yielding up to 23%improvement in application performance, and is effective even for petascale systems and beyond.