Re: RFC: Dragonfly

Deepak Vij <deepak.vij@...>

While we are on the topic of image pulling optimizations, following granular image layers level optimizations are being worked on as part of Kubernetes Scheduling SIG future release feature:  

1)      Layer tracking system on each machine/node discovers the layer information from local file-system and reports this information to workload scheduler (for example, K8S scheduler in our case).

2)      As part of the image resolution process for an incoming container workload, image request is decomposed to underlying layer requests.

3)      Scheduler uses these two pieces of information to perform workload scheduling in accordance to the layering information on the node.


Deepak Vij


From: cncf-toc@... [mailto:cncf-toc@...] On Behalf Of AllenSun
Sent: Tuesday, September 04, 2018 10:56 AM
To: cncf-toc <cncf-toc@...>
Subject: Re: [cncf-toc] RFC: Dragonfly



Hi, Friends,


It is my honor to give a presentation about Dragonfly to CNCF community. Dragonfly aims at covering all the image distribution in CNCF ecosystem. And currently it works perfectly within Kubernetes. My slides are in the attachment of this email.


Please feel free to give us your feedback on Dragonfly. Any thoughts on it are welcome.


In addition, I am really happy that Jonathan Boulle would like to sponsor Dragonfly to enter sandbox level.

While we sincerely wish that an additional TOC member could sponsor this.


How to get help from Dragonfly's team, if you are interested in this, please don't hesitate to drop questions on me.


Thanks a lot.


Allen Sun

Alibaba Group






Sender:Chris Aniszczyk <caniszczyk@...>

Sent at:2018 Sep 4 (Tue) 23:33

Recipient:CNCF TOC <cncf-toc@...>

Cc:Allen <allensun.shl@...>

Subject:[cncf-toc] RFC: Dragonfly


The Dragonfly project was presented to the TOC today:


They currently have one TOC sponsor, Jonathan Boulle.


The Dragonfly community is seeking an additional TOC sponsor and happy to answer any questions from the community.



Chris Aniszczyk (@cra) | +1-512-961-6719


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