A survey of fault tolerance mechanisms and checkpoint/restart implementations for high performance computing systems
TLDR
The failure rates of HPC systems are reviewed, rollback-recovery techniques which are most often used for long-running applications on HPC clusters are discussed, and a taxonomy is developed for over twenty popular checkpoint/restart solutions.Abstract:
In recent years, High Performance Computing (HPC) systems have been shifting from expensive massively parallel architectures to clusters of commodity PCs to take advantage of cost and performance benefits. Fault tolerance in such systems is a growing concern for long-running applications. In this paper, we briefly review the failure rates of HPC systems and also survey the fault tolerance approaches for HPC systems and issues with these approaches. Rollback-recovery techniques which are most often used for long-running applications on HPC clusters are discussed because they are widely used for long-running applications on HPC systems. Specifically, the feature requirements of rollback-recovery are discussed and a taxonomy is developed for over twenty popular checkpoint/restart solutions. The intent of this paper is to aid researchers in the domain as well as to facilitate development of new checkpointing solutions.read more
Citations
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Proceedings ArticleDOI
CRState: In-Kernel Checkpoint/Restart of OpenCL Program Execution on GPU
TL;DR: A feasible system, CRState, to achieve checkpoint/restart in GPU kernels with the assistant of a pre-compiler, and results indicate that CRState has the potential to reschedule resources and balance workload across heterogeneous devices.
Um Protocolo Pessimista para Registro de Mensagens Baseado em um Event Logger Distribuído e Tolerante a Falhas
TL;DR: Resultados demonstram that o event logger distribuido tem desempenho superior ao da abordagem centralizada e that o protocolo proposto realiza a recuperacao da aplicacao eficientemente.
Journal ArticleDOI
Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications
TL;DR: Canary as discussed by the authors is a highly resilient and fault-tolerant framework for FaaS that mitigates the impact of failures and reduces the overhead of function restart by utilizing replicated container runtimes and application-level checkpoints.
DissertationDOI
Fault Tolerance for Stream Programs on Parallel Platforms
TL;DR: In this article, the authors proposed a leader election method for distributed systems with stream processing networks, where only non-busy nodes compete to become the new leader while the busy nodes can continue with their tasks.
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