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