An Energy-Aware Fault Tolerant Scheduling Framework for Soft Error Resilient Cloud Computing Systems

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Provided by: edaa
Topic: Cloud
Format: PDF
For modern high performance systems, aggressive technology and voltage scaling has drastically increased their susceptibility to soft errors. At the grand scale of cloud computing, it is clear that soft error induced failures will occur far more frequently, but it is unclear as to how to effectively apply current error detection and fault tolerance techniques in scale. In this paper, the authors focus on energy-aware fault tolerant scheduling in public, multi-user cloud systems, and explore the three-way tradeoff between reliability (in terms of soft error resiliency), performance and energy.
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