允许多节点故障的倾斜检查点

Hiroshi Nakamura, T. Hayashida, Masaaki Kondo, Yuya Tajima, Masashi Imai, T. Nanya
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引用次数: 5

摘要

大型集群系统由于在高性能计算中具有良好的性能/成本比而得到了广泛的应用。尽管这些集群系统是分布式内存系统,但是协调检查点是一种很有前途的维护高可用性的方法,因为计算节点彼此紧密相连。然而,随着计算节点数量的增加,多节点故障的概率也随之增加。为了容忍多节点故障,检查点需要很大程度的冗余,但这会导致性能下降。因此,我们提出了一种新的协调检查点,称为倾斜检查点。在这种方法中,检查点每次都是倾斜的。虽然每个检查点本身只包含一个冗余度,但当节点数为N时,这种倾斜的检查点确保了/spl lfloor/log/sub 2/N/spl rfloor/冗余度。在本文中,我们提出了提出的方法并分析了性能开销。然后,将该方法应用于集群系统,并与其他传统的检查点方案进行了比较。结果表明了该方法的优越性,尤其适用于大型集群系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Skewed checkpointing for tolerating multi-node failures
Large cluster systems have become widely utilized because they achieve a good performance/cost ratio especially in high performance computing. Although these cluster systems are distributed memory systems, coordinated checkpointing is a promising way to maintain high availability because the computing nodes are tightly connected to one another. However, as the number of computing nodes gets larger, the probability of multi-node failures increases. To tolerate multi-node failures, a large degree of redundancy is required in checkpointing, but this leads to performance degradation. Thus, we propose a new coordinated checkpointing called skewed checkpointing. In this method, checkpointing is skewed every time. Although each checkpointing itself contains only one degree of redundancy, this skewed checkpointing ensures /spl lfloor/log/sub 2/N/spl rfloor/ degrees of redundancy when the number of nodes is N. In this paper, we present the proposed method and an analysis of the performance overhead. Then, this method is applied to a cluster system and compared with other conventional checkpointing schemes. The results reveal the superiority of our method, especially for large cluster systems.
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