BlobCR: Efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots

Bogdan Nicolae, F. Cappello
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引用次数: 87

Abstract

Infrastructure-as-a-Service (IaaS) cloud computing is gaining significant interest in industry and academia as an alternative platform for running scientific applications. Given the dynamic nature of IaaS clouds and the long runtime and resource utilization of such applications, an efficient checkpoint-restart mechanism becomes paramount in this context. This paper proposes a solution to the aforementioned challenge that aims at minimizing the storage space and performance overhead of checkpoint-restart. We introduce an approach that leverages virtual machine (VM) disk-image multi-snapshotting and multi-deployment inside checkpoint-restart protocols running at guest level in order to efficiently capture and potentially roll back the complete state of the application, including file system modifications. Experiments on the G5K testbed show substantial improvement for MPI applications over existing approaches, both for the case when customized checkpointing is available at application level and the case when it needs to be handled at process level.
BlobCR: IaaS云上使用虚拟磁盘映像快照的高性能计算应用程序的高效检查点重启
基础设施即服务(IaaS)云计算作为运行科学应用程序的替代平台,正引起工业界和学术界的极大兴趣。考虑到IaaS云的动态特性以及此类应用程序的长运行时间和资源利用率,在这种情况下,有效的检查点重新启动机制变得至关重要。本文提出了一种以最小化检查点重启的存储空间和性能开销为目标的解决方案。我们介绍了一种方法,该方法利用在客户机级别运行的检查点重新启动协议中的虚拟机(VM)磁盘映像多快照和多部署,以便有效地捕获和回滚应用程序的完整状态,包括文件系统修改。G5K测试平台上的实验表明,MPI应用程序比现有方法有了实质性的改进,无论是在应用程序级别上提供定制检查点的情况,还是需要在进程级别处理检查点的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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