Volcano resource manager for Spark on Kubernetes

Dear Spark Developers, 
 
Hello from the Netherlands! Posting this here as I still haven't gotten accepted to post in the spark dev mailing list.
 
My team is planning to use spark with Kubernetes support on our shared (multi-tenant) on premise Kubernetes cluster. However we would like to have certain scheduling features like fair-share and preemption which as we understand are not built into the current spark-kubernetes resource manager yet. We have been working on and are close to a first successful prototype integration with Volcano (https://volcano.sh/en/docs/). Briefly this means a new resource manager component with lots in common with existing spark-kubernetes resource manager, but instead of pods it launches Volcano jobs which delegate the driver and executor pod creation and lifecycle management to Volcano. We are interested in contributing this to open source, either directly in spark or as a separate project.
 
So, two questions: 
 
1. Do the spark maintainers see this as a valuable contribution to the mainline spark codebase? If so, can we have some guidance on how to publish the changes? 
 
2. Are any other developers / organizations interested to contribute to this effort? If so, please get in touch.
 
Best,
Dipanjan