mirror of
https://gitlab.torproject.org/tpo/core/tor.git
synced 2024-12-03 00:53:32 +01:00
64 lines
2.3 KiB
R
64 lines
2.3 KiB
R
## Load in data files
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t1 = read.table("opt_1e-6.pickle.dat", header=TRUE)
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t2 = read.table("opt_1e-3.pickle.dat", header=TRUE)
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t3 = read.table("opt_1e-1.pickle.dat", header=TRUE)
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t4 = read.table("opt_0.75.pickle.dat", header=TRUE)
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t5 = read.table("opt_0.5.pickle.dat", header=TRUE)
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t6 = read.table("opt_0.25.pickle.dat", header=TRUE)
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t7 = read.table("opt_0.1.pickle.dat", header=TRUE)
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tt = read.table("opt_tor.pickle.dat", header=TRUE)
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## Calculate selection probabilties that Tor uses
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o = t1$bw/sum(t1$bw)
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#plot(t1$bw, cumsum(t1$prob), col="red", type="l")
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#lines(t1$bw, cumsum(t2$prob), col="pink")
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#lines(t1$bw, cumsum(t3$prob), col="blue")
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#lines(t1$bw, cumsum(t4$prob), col="orange")
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#lines(t1$bw, cumsum(t5$prob), col="purple")
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#lines(t1$bw, cumsum(tt$prob))
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## Plot probabiltieis
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pdf("optimum-selection-probabilities.pdf")
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col <- rainbow(8)
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plot(t1$bw, t1$prob, col=col[1], type="b", ylim=c(0,0.035),xlab="Bandwidth (cells/s)",
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ylab="Selection probability", frame.plot=FALSE)
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lines(t1$bw, t2$prob, col=col[2], type="b")
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lines(t1$bw, t3$prob, col=col[3], type="b")
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lines(t1$bw, t4$prob, col=col[4], type="b")
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lines(t1$bw, t5$prob, col=col[5], type="b")
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## These are too messy
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##lines(t1$bw, t6$prob, col=col[6], type="b")
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##lines(t1$bw, t7$prob, col=col[7], type="b")
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lines(t1$bw, tt$prob,col=col[8], type="b")
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lines(t1$bw, o, type="l", lwd=2)
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## Annotate graph
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title(main="Optimum node selection probability")
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x <- rep(8254.383, 4)
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y <- c(0.03453717, 0.02553347, 0.02219589, 0.02048830)
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par(xpd=TRUE)
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text(x,y,c("50%", "75%", "90%", ">99%"), adj=c(0,0.5))
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dev.off()
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## Plot probabilities relative to what Tor does
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pdf("relative-selection-probabilities.pdf")
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plot(t1$bw, t1$prob-o, col=col[1], type="b", xlab="Bandwidth (cells/s)",
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ylab="Selection probability - Tor's selection probability", frame.plot=FALSE, ylim=c(-0.002,0.015))
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lines(t1$bw, t2$prob-o, col=col[2], type="b")
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lines(t1$bw, t3$prob-o, col=col[3], type="b")
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lines(t1$bw, t4$prob-o, col=col[4], type="b")
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lines(t1$bw, t5$prob-o, col=col[5], type="b")
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lines(t1$bw, tt$prob-o,col=col[8], type="b")
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lines(range(t1$bw), rep(0,2), lty=2)
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title(main="Selection probabilility compared to Tor")
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x <- rep(8111.669, 4)
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y <- c(1.396915e-02, 4.962766e-03, 1.635106e-03, 7.446809e-06)
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par(xpd=TRUE)
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text(x,y,c("50%", "75%", "90%", ">99%"), adj=c(0,0.5))
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dev.off()
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