The CRUSH algorithm determines how to store and retrieve data by computing data storage locations. CRUSH empowers Ceph clients to communicate with OSDs directly rather than through a centralized server or broker. With an algorithmically determined method of storing and retrieving data, Ceph avoids a single point of failure, a performance bottleneck, and a physical limit to its scalability. CRUSH requires a map of your cluster, and uses the CRUSH map to pseudo-randomly store and retrieve data in OSDs with a uniform distribution of data across the cluster.
This project aims at creating graphs of the crush map, for better visualization of the Ceph cluster.
Predicting the non-functional properties of a Ceph cluster can be quite difficult. There are many inputs in the hardware setup and software configuration that affect the resulting availability, reliability and performance (latency and throughput at nominal levels and during degraded and rebuild times).
I want to understand the interrelationship of these parameters better and build a (perhaps interactive) model that allows us to predict the result without the need to build a ten thousand node cluster.
PXEAT (stand for PXE Administration Tool) is a tool to easily deploy and manage PXE service.
It's NOT a tool for automatic deployment. It can enable user to add their own PXE items by themselves, but of course, very limited for security reasons. The tool will be developed with the light-weight framework - flask, as well as a sqlite database.