blob: cbacf490b6c3355768826125999a4eafcd66ec3d [file] [log] [blame]
# Copyright (c) 2012,2015 Alexander Afanasyev <alexander.afanasyev@ucla.edu>
# install.packages('ggplot2')
library(ggplot2)
# install.packages('scales')
library(scales)
# install.packages('doBy')
library(doBy)
#########################
# Rate trace processing #
#########################
data = read.table("rate-trace.txt", header=T)
data$Node = factor(data$Node)
data$FaceId <- factor(data$FaceId)
data$Kilobits <- data$Kilobytes * 8
data$Type = factor(data$Type)
# exlude irrelevant types
data = subset(data, Type %in% c("InInterests", "OutInterests", "InData", "OutData"))
# combine stats from all faces
data.combined = summaryBy(. ~ Time + Node + Type, data=data, FUN=sum)
data.root = subset (data.combined, Node == "root")
data.leaves = subset(data.combined, Node %in% c("leaf-1", "leaf-2", "leaf-3", "leaf-4"))
# graph rates on all nodes in Kilobits
g.all <- ggplot(data.combined) +
geom_point(aes (x=Time, y=Kilobits.sum, color=Type), size=1) +
ylab("Rate [Kbits/s]") +
facet_wrap(~ Node)
print(g.all)
# graph rates on the root nodes in Packets
g.root <- ggplot(data.root) +
geom_point(aes (x=Time, y=Kilobits.sum, color=Type), size=2) +
geom_line(aes (x=Time, y=Kilobits.sum, color=Type), size=0.5) +
ylab("Rate [Kbits/s]")
print(g.root)
png("src/ndnSIM/docs/source/_static/root-rates.png", width=500, height=250)
print(g.root)
retval <- dev.off()