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library(tidyverse)
read_csv("garage-v0.7.csv") %>% add_column(daemon="garage 0.7.3") -> a
read_csv("garage-v0.8.csv") %>% add_column(daemon="garage 0.8.0 beta") -> b
read_csv("minio-20220917.csv") %>% add_column(daemon="minio RELEASE.2022-09-17") -> c
bind_rows(a,b,c) %>% group_by(daemon,endpoint) %>% summarise(
time_mean = mean(nanoseconds) / 1000 / 1000,
time_max = max(nanoseconds) / 1000 / 1000,
time_min = min(nanoseconds) / 1000 / 1000
) -> c
st <- "100 measurements, 5 nodes, 50ms RTT + 10ms jitter between nodes\nno contention: latency is due to intra-cluster communications\ncolored bar = mean latency, error bar = min and max latency"
ggplot(c, aes(x=endpoint,y=time_mean,fill=daemon,ymin=time_min,ymax=time_max)) +
geom_bar(stat="identity", position=position_dodge(),color="black") +
geom_errorbar(position=position_dodge(.9),width=.2) +
scale_y_continuous(expand=c(0,0))+
coord_flip() +
labs(
x="S3 Endpoint",
y="Latency (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",
subtitle=st) +
theme_classic() +
theme(legend.position = c(.8, .3))
ggsave("./plot.png", width=200, height=110, units="mm")
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