README.md

DaisyNFS evaluation

The AWS evaluation setup is documented in aws/README.md. These instructions document a more manual setup.

The evaluation scripts use some environment variables that point to a few repositories:

export GO_NFSD_PATH=~/go-nfsd
export DAISY_NFSD_PATH=~/daisy-nfsd
export XV6_PATH=~/xv6-public
export LTP_PATH=~/ltp

You'll need to clone mit-pdos/go-nfsd, mit-pdos/xv6-public, and linux-test-project/ltp (this last one is only needed to run the stress tests).

This repo is mit-pdos/daisy-nfsd.

These instructions assume you've compiled the evaluation driver with go build ./cmd/daisy-eval.

smallfile, largefile, and app benchmarks

Run daisy-eval -i eval/data bench. Then ./eval/eval.py -i eval/data bench will produce a file eval/data/bench.data.

smallfile scalability on a disk

Run daisy-eval -i eval/data bench. Then ./eval/eval.py -i eval/data scale will produce files for each system in data/{daisy-nfsd,go-nfsd,linux}.data.

The daisy-eval driver has an argument to set the disk file.

Plotting

You can run ./plot.sh to run the Python post-processing and gnuplot all at once.

stress tests

Run ./tests.sh to run the fsstress and fsx-linux tests. You'll need to clone ltp and compile it; running ./tests.sh --help will give you the right commands.

The default number of iterations runs each suite for about 10 seconds. To run longer, run something like ./tests.sh 10, which will scale the default iteration counts by 10.