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authorQuentin Dufour <quentin@deuxfleurs.fr>2022-09-28 14:59:18 +0200
committerQuentin Dufour <quentin@deuxfleurs.fr>2022-09-28 14:59:18 +0200
commit1ae69c8e2acef38307d6c562efb8b0d659142b42 (patch)
tree2c8eebd47716dda13e5525283c40f75882b79937 /artifacts
parent7011ec431f021a0e1800ad37e738dd43af0b54a6 (diff)
downloadmknet-1ae69c8e2acef38307d6c562efb8b0d659142b42.tar.gz
mknet-1ae69c8e2acef38307d6c562efb8b0d659142b42.zip
To fit or not to fit
Diffstat (limited to 'artifacts')
-rw-r--r--artifacts/2022-09-23-s3lat/plot.R2
-rw-r--r--artifacts/2022-09-23-s3lat/plot.pngbin145685 -> 147625 bytes
-rw-r--r--artifacts/2022-09-24-s3billion/garage-regression.pngbin0 -> 291615 bytes
-rw-r--r--artifacts/2022-09-24-s3billion/garage.pngbin250245 -> 237406 bytes
-rw-r--r--artifacts/2022-09-24-s3billion/plot.R18
5 files changed, 17 insertions, 3 deletions
diff --git a/artifacts/2022-09-23-s3lat/plot.R b/artifacts/2022-09-23-s3lat/plot.R
index dd904e6..98eba52 100644
--- a/artifacts/2022-09-23-s3lat/plot.R
+++ b/artifacts/2022-09-23-s3lat/plot.R
@@ -19,7 +19,7 @@ ggplot(c, aes(x=endpoint,y=time_mean,fill=daemon,ymin=time_min,ymax=time_max)) +
coord_flip() +
labs(
x="S3 Endpoint",
- y="Latency (ms)",
+ y="Request duration (ms)",
fill="Daemon",
caption="Get the code to reproduce this graph at https://git.deuxfleurs.fr/Deuxfleurs/mknet",
title="S3 endpoint latency in a simulated geo-distributed cluster",
diff --git a/artifacts/2022-09-23-s3lat/plot.png b/artifacts/2022-09-23-s3lat/plot.png
index 8962b65..92eac3f 100644
--- a/artifacts/2022-09-23-s3lat/plot.png
+++ b/artifacts/2022-09-23-s3lat/plot.png
Binary files differ
diff --git a/artifacts/2022-09-24-s3billion/garage-regression.png b/artifacts/2022-09-24-s3billion/garage-regression.png
new file mode 100644
index 0000000..f2c0aef
--- /dev/null
+++ b/artifacts/2022-09-24-s3billion/garage-regression.png
Binary files differ
diff --git a/artifacts/2022-09-24-s3billion/garage.png b/artifacts/2022-09-24-s3billion/garage.png
index 319760d..9554e60 100644
--- a/artifacts/2022-09-24-s3billion/garage.png
+++ b/artifacts/2022-09-24-s3billion/garage.png
Binary files differ
diff --git a/artifacts/2022-09-24-s3billion/plot.R b/artifacts/2022-09-24-s3billion/plot.R
index 2baf70d..bf8b29c 100644
--- a/artifacts/2022-09-24-s3billion/plot.R
+++ b/artifacts/2022-09-24-s3billion/plot.R
@@ -1,12 +1,25 @@
library(tidyverse)
+library(ggpmisc)
-read_csv("garage-v0.8-beta2-lmdb.csv") %>% mutate(batch_dur_sec = batch_dur_nanoseconds / 1000 / 1000 / 1000 ) -> s
+read_csv("garage-v0.8-beta2-lmdb.csv") %>% mutate(batch_dur_sec = batch_dur_nanoseconds / 1000 / 1000 / 1000) %>% filter(total_objects != 0) -> s
+
+reg1 <- lm(s$batch_dur_sec~s$total_objects)
+reg2 <- lm(s$batch_dur_sec ~ log(s$total_objects))
+
+f1 <- y~log(x)
+f2 <- y~x
+
ggplot(s, aes(x=total_objects, y=batch_dur_sec)) +
geom_point() +
- geom_smooth(method = "gam", se = FALSE) +
+ #geom_smooth(method="lm",formula=f1, se = FALSE, color="red") +
+ #geom_smooth(method="lm",formula=f2, se = FALSE, color="blue") +
+ #stat_poly_eq(formula = f1, label.y = 0.9, color = "red", aes(label=paste(..eq.label..,..rr.label..,..adj.rr.label..,..AIC.label..,..BIC.label.., sep = "~~~"))) +
+ #stat_poly_eq(formula = f2, label.y = 0.8, color="blue",aes(label=paste(..eq.label..,..rr.label..,..adj.rr.label..,..AIC.label..,..BIC.label.., sep = "~~~"))) +
+ #geom_smooth(method = "gam", se = FALSE) +
scale_x_continuous(expand=c(0,0), breaks = scales::pretty_breaks(n = 10))+
scale_y_continuous(expand=c(0,0), breaks = scales::pretty_breaks(n = 10))+
+ coord_cartesian(ylim=c(0,60)) +
labs(
y="Time (in sec) spent sending a batch (8192 objects)",
x="Total number of objects stored in the cluster",
@@ -15,6 +28,7 @@ ggplot(s, aes(x=total_objects, y=batch_dur_sec)) +
subtitle="Daemon: Garage v0.8 beta 2 with LMDB as db_engine\nBenchmark: 128 batch. 8192 objects/batch. 32 threads/batch. 256 objects/thread. 16-byte/objects.\nEnvironment: mknet (Ryzen 5 1400, 16GB RAM, SSD). DC topo (3 nodes, 1Gb/s, 1ms latency).") +
theme_classic()
ggsave("./garage.png", width=200, height=120, units="mm")
+#ggsave("./garage-regression.png", width=200, height=120, units="mm")