LizardFS – Reliable and Scalable Distributed File System
github.com
github.com
Is this just a re-branding of moose in hopes to sell consulting for it?
It seems that's the goal: https://lizardfs.com/
1) Single Master for Metadata
One of the biggest weaknesses in this model is that you can only scale the master so far. For metadata responses to be snappy, everything in your working set has to fit in RAM. That imposes hard limits on your number of files; 100M is achievable, 1B can even be done, but more than that and you're in for hurt.
2) Chunkserver to chunkserver replication
As the moosefs write diagram shows, you're waiting for chunkservers to walk a linear tree, and you get the slowest performance of each one. Which, as it turns out, is on average pretty bad. If you have a 99th percentile latency of 10x your average, you lose 20% of your speed with three replicas. Not to mention the fact that your 'single point of failure' is actually any of the three of those chunkservers, with a long retry stall if one of them errors. LizardFS supports a xor mode, so it may be avoiding this by having clients talk to more than one chunkserver directly. Combined with proper queueing and retry logic, this reduces the effect of the long tail significantly.
There doesn't seem to be much information provided in this link, and their website doesn't help much either. Does LizardFS do full end to end encryption too? That's one of the more important things to me.
You might also find this list useful:
https://en.wikipedia.org/wiki/List_of_file_systems#Distribut...
/* ...
* MooseFS is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, version 2 (only).
* ...
*/One thing I never understood though is why when forking they decided to rewrite everything in C++. Wouldn't be better to just write it from scratch?