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@@ -1,6 +1,12 @@
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# sparta-experiments dockerization
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-This repository is a dockerization of the [ucsc-anonymity/sparta-experiments](https://github.com/ucsc-anonymity/sparta-experiments) repository. This dockerization can be used to reproduce the Sparta-SB datapoints in Figures 7 and 8 of the TEEMS paper.
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+This repository is a dockerization of the [ucsc-anonymity/sparta-experiments](https://github.com/ucsc-anonymity/sparta-experiments) repository. This dockerization can be used to reproduce the Sparta-SB datapoints in Figures 7 and 8 of the TEEMS paper:
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+
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+Sajin Sasy, Aaron Johnson, and Ian Goldberg. [TEEMS: A Trusted Execution
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+Environment based Metadata-protected Messaging
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+System](https://cs.uwaterloo.ca/~iang/pubs/teems-popets25.pdf).
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+Proceedings on Privacy Enhancing Technologies, Vol. 2025, No. 4, July
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+2025.
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This dockerization by Ian Goldberg, iang@uwaterloo.ca.
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@@ -10,17 +16,19 @@ You will need a server with an Intel Xeon CPU that supports SGX2, and
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SGX2 must be enabled in the BIOS. To fully reproduce the graphs in the
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paper, you will need 72 CPU cores (not hyperthreads), but if you have
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fewer, your experiments will just run more slowly (Figure 7) or only
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-partially (Figure 8).
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+partially (Figure 8). We used a machine with two 40-core Intel Xeon 8380
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+CPUs running at 2.3 GHz to generate the figures, if you aim to compare
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+your results to ours.
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## Software requirements
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The server should run Linux with kernel at least 5.11. We used Ubuntu
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22.04.
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-If SGX2 is enabled on your machine, you should see device files
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+SGX2 must be enabled on your machine, and so you should see device files
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`/dev/sgx/enclave` and `/dev/sgx/provision`.
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-You will need docker. On Ubuntu, for example: `apt install docker.io`
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+You will need `docker`. On Ubuntu, for example: `apt install docker.io`
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and be sure to run all the experiments as a user with docker permissions
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(in the `docker` group).
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@@ -46,6 +54,9 @@ with the experiments:
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docker stop aesmd
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```
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+You will need `python3` with `numpy` (on the _host_ machine) to run the
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+log parser scripts.
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+
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## Quickstart
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Once you have SGX2 and `aesmd` set up, the following will build sparta
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@@ -143,7 +154,18 @@ columns:
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- Total time to send and fetch that batch (mean and stddev over the `niters` experiment runs)
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These are the values (with sending round equal to 1) plotted in Figure 7
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-in the TEEMS paper.
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+in the TEEMS paper. Our exact results (and what is plotted in the
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+figure) were:
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+
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+```
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+users,batches,send_mean,send_stddev,fetch_mean,fetch_stddev,tot_mean,tot_stddev
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+32768,1,0.676,0.020,1.182,0.016,1.858,0.028
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+65536,1,1.301,0.014,2.190,0.013,3.491,0.017
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+131072,1,2.488,0.033,4.049,0.052,6.537,0.055
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+262144,1,4.959,0.042,7.856,0.071,12.816,0.085
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+524288,1,9.742,0.102,15.284,0.144,25.027,0.167
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+1048576,1,18.448,0.340,29.074,0.367,47.522,0.595
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+```
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### The corescale experiments
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@@ -170,4 +192,21 @@ additional column just before the timings:
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- The number of cores
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-These are the values plotted in Figure 8 in the TEEMS paper.
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+These are the values plotted in Figure 8 in the TEEMS paper. Our exact
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+results (and what is plotted in the figure) were:
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+
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+```
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+users,batches,ncores,send_mean,send_stddev,fetch_mean,fetch_stddev,tot_mean,tot_stddev
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+1048576,1,4,25.666,0.367,51.238,0.808,76.904,0.772
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+1048576,1,6,25.803,0.396,51.315,0.767,77.117,0.927
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+1048576,1,8,26.084,0.383,52.118,0.415,78.202,0.364
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+1048576,1,16,18.273,0.190,28.953,0.219,47.226,0.235
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+1048576,1,24,13.194,0.221,18.997,0.377,32.191,0.384
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+1048576,1,32,13.434,0.404,18.312,0.189,31.747,0.518
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+1048576,1,36,13.375,0.259,18.619,0.410,31.995,0.473
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+1048576,1,40,13.435,0.275,18.482,0.414,31.917,0.540
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+1048576,1,44,12.984,0.290,18.399,0.374,31.383,0.569
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+1048576,1,48,10.382,0.401,14.264,0.322,24.646,0.471
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+1048576,1,64,10.432,0.382,14.579,0.263,25.011,0.590
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+1048576,1,72,10.820,0.286,15.066,0.296,25.886,0.466
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+```
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