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Welcome to CRIU, a project to implement checkpoint/restore functionality for Linux in userspace. | Welcome to CRIU, a project to implement checkpoint/restore functionality for Linux in userspace. | ||
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== Releases == | == Releases == | ||
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== Using == | == Using == | ||
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Revision as of 18:30, 5 September 2012
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Welcome to CRIU, a project to implement checkpoint/restore functionality for Linux in userspace.
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CRIU is a sub-project of OpenVZ Linux Containers. |
Releases
- crtools-0.1.tar.bz2 23 Jul 2012 (sha1 aa1a9af42f4132e00701555a00ee3884cbe0c36b)
Using
- CR tools
- Main checkpoint/restore utility description (sort of HOWTO)
- Usage scenarios
- Ideas how crtools can be used (some are crazy indeed)
- What software is supported
- Describes TODO list in higher level terms
Developing
If you're interested in CRIU development, subscribe to the criu mailing list: https://openvz.org/mailman/listinfo/criu
- Images
- Description of image files format
- Commits
- Mainline kernel commits tracker
- ZDTM Test Suite
- Zero downtime test suite
- TODO
- Current TODO list
Under the hood
External links
- 2019-10-03, Fast In-Memory CRIU for Docker Containers
- 2019-09-11, Performance Estimation of Container-BasedCloud-to-Fog Offloading
- 2019-07-16, FastContainer: A Homeostatic System Architecture High-speed Adapting Execution Environment Changes
- 2019-07-11, Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes
- 2019-07, University of Twente: Increasing Availability of the AEPU by Improving the Update Process
- 2019-05-25, Replayable Execution Optimized for Page Sharing for a Managed Runtime Environment
- 2019-04-29, Binghamton University: mWarp: Accelerating Intra-Host Live Container Migration via Memory Warping
- 2019-04-10, CRIU and SELinux
- 2019-03-27, Container Migration in the Fog: A Performance Evaluation
- 2019-03-25, Checkpointing and Migration of IoT Edge Functions
- 2019-03-24, Future University Hakodate: Yet Another Container Migration on FreeBSD
- 2019-03-09, Provenance-based fault tolerance technique recommendation for cloud-based scientific workflows: a practical approach