CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications

Fuente: arXiv
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Hauptverfasser: Andrijauskas, Fabio, Sfiligoi, Igor, Davila, Diego, Arora, Aashay, Guiang, Jonathan, Bockelman, Brian, Thain, Greg, Wurthwein, Frank
Format: Preprint
Veröffentlicht: 2024
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author Andrijauskas, Fabio
Sfiligoi, Igor
Davila, Diego
Arora, Aashay
Guiang, Jonathan
Bockelman, Brian
Thain, Greg
Wurthwein, Frank
author_facet Andrijauskas, Fabio
Sfiligoi, Igor
Davila, Diego
Arora, Aashay
Guiang, Jonathan
Bockelman, Brian
Thain, Greg
Wurthwein, Frank
contents Creating new materials, discovering new drugs, and simulating systems are essential processes for research and innovation and require substantial computational power. While many applications can be split into many smaller independent tasks, some cannot and may take hours or weeks to run to completion. To better manage those longer-running jobs, it would be desirable to stop them at any arbitrary point in time and later continue their computation on another compute resource; this is usually referred to as checkpointing. While some applications can manage checkpointing programmatically, it would be preferable if the batch scheduling system could do that independently. This paper evaluates the feasibility of using CRIU (Checkpoint Restore in Userspace), an open-source tool for the GNU/Linux environments, emphasizing the OSG's OSPool HTCondor setup. CRIU allows checkpointing the process state into a disk image and can deal with both open files and established network connections seamlessly. Furthermore, it can checkpoint traditional Linux processes and containerized workloads. The functionality seems adequate for many scenarios supported in the OSPool. However, some limitations prevent it from being usable in all circumstances.
format Preprint
id arxiv_https___arxiv_org_abs_2402_05244
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications
Andrijauskas, Fabio
Sfiligoi, Igor
Davila, Diego
Arora, Aashay
Guiang, Jonathan
Bockelman, Brian
Thain, Greg
Wurthwein, Frank
Distributed, Parallel, and Cluster Computing
Creating new materials, discovering new drugs, and simulating systems are essential processes for research and innovation and require substantial computational power. While many applications can be split into many smaller independent tasks, some cannot and may take hours or weeks to run to completion. To better manage those longer-running jobs, it would be desirable to stop them at any arbitrary point in time and later continue their computation on another compute resource; this is usually referred to as checkpointing. While some applications can manage checkpointing programmatically, it would be preferable if the batch scheduling system could do that independently. This paper evaluates the feasibility of using CRIU (Checkpoint Restore in Userspace), an open-source tool for the GNU/Linux environments, emphasizing the OSG's OSPool HTCondor setup. CRIU allows checkpointing the process state into a disk image and can deal with both open files and established network connections seamlessly. Furthermore, it can checkpoint traditional Linux processes and containerized workloads. The functionality seems adequate for many scenarios supported in the OSPool. However, some limitations prevent it from being usable in all circumstances.
title CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2402.05244