X-Git-Url: http://git.onelab.eu/?a=blobdiff_plain;f=statistics%2Fmyops_restoration.r;h=d953004ee43a55eeeb2bea4138f9e70b6dfb178b;hb=262c17820ff311cb64a994e2290417335e78fe9c;hp=838e0b1dc2e4412a802f3997e882998fe11ff9df;hpb=a00628d4ae71b919c03761d139de3087e7d2a413;p=monitor.git diff --git a/statistics/myops_restoration.r b/statistics/myops_restoration.r index 838e0b1..d953004 100644 --- a/statistics/myops_restoration.r +++ b/statistics/myops_restoration.r @@ -1,5 +1,6 @@ source("functions.r"); +print ("fuckyou 0"); nsh <- read.csv('node_status_history.csv', sep=',', header=TRUE) @@ -11,7 +12,9 @@ nsh_m1 <- read.csv('node_status_history_m1.csv', sep=',', header=TRUE) nsh_m1_nopcu_total <- read.csv('node_status_history_m1_nopcu_total.csv', sep=',', header=TRUE) nsh_m1_nopcu_notice <- read.csv('node_status_history_m1_nopcu.csv', sep=',', header=TRUE) nsh_m1_nopcu_kernel <- read.csv('node_status_history_m1_nopcu_may08sep08.csv', sep=',', header=TRUE) +nsh_m1_pcu <- read.csv('node_status_history_m1_pcu.csv', sep=',', header=TRUE) +print ("fuckyou 0a"); node_hist_image <- function (t, year, from, to, max=0, type="week", title="") { dates <-seq(as.Date(from), as.Date(to), type) @@ -131,6 +134,7 @@ hbreaks<-unclass(as.POSIXct(dates)) x_start<-unclass(as.POSIXct("2008-05-01", origin="1970-01-01"))[1] x_end <-unclass(as.POSIXct("2009-06-1", origin="1970-01-01"))[1] +print ("fuckyou 0b"); tstamp_0510 <-abline_at_date("2008-05-10", col='grey20', lty=0, height=570) # dates takes from reboot_image() output for API events. @@ -149,20 +153,25 @@ tstamp_0223 <-abline_at_date("2009-02-23", col='grey70', height=570) # red #tstamp_0313 <-abline_at_date("2009-03-13", col='grey70', height=570) -start_image("myops_restore_nopcu.png") +print ("fuckyou 0c"); +start_image("myops_restore_nopcu.eps") par(mfrow=c(2,1)) par(mai=c(.9,.8,.1,.1)) +print ("fuckyou 1"); plot(dnc2$start[which(!is.na(dnc2$available) & (dnc2$start > tstamp_0815 & dnc2$start <= tstamp_1015) )], dnc2$available[which(!is.na(dnc2$available) & (dnc2$start > tstamp_0815 & dnc2$start <= tstamp_1015) )], type='l', col='red', ylim=c(0,600), xlim=c(x_start, x_end), - xlab="", ylab="Online Node Count", axes=F) + xlab="", ylab="a) Online Node Count", axes=F) +print ("fuckyou 2"); lines(dnc2$start[which(!is.na(dnc2$available) & (dnc2$start > tstamp_0223) )], dnc2$available[which(!is.na(dnc2$available) & (dnc2$start > tstamp_0223) )], type='l', col='red') lines(dnc2$start[which(!is.na(dnc2$available) & dnc2$start > tstamp_1015 & dnc2$start <= tstamp_0223)], dnc2$available[which(!is.na(dnc2$available)& dnc2$start > tstamp_1015 & dnc2$start <= tstamp_0223)], lty=2, type='l', col='blue') +print ("fuckyou 4"); + lines(dnc2$start[which(!is.na(dnc2$available) & dnc2$start > tstamp_0510 & dnc2$start <= tstamp_0815)], dnc2$available[which(!is.na(dnc2$available)& dnc2$start > tstamp_0510 & dnc2$start <= tstamp_0815)], lty=3, type='l', col='darkgreen') #lines(dnc2$start[which(!is.na(dnc2$available))], dnc2$available[which(!is.na(dnc2$available))], @@ -259,6 +268,12 @@ nsh_dist_m1 <- node_hist_dist(nsh_m1_short, '2008', '2008-05-10', '2008-08-15', d_m1_kernel_bug <- ecdf(nsh_dist_m1/(60*60*24)) +nsh_m1_short <- nsh_m1_pcu[which(nsh_m1_pcu$start > t_0815 & nsh_m1_pcu$start <= t_0224),] +nsh_dist_m1 <- node_hist_dist(nsh_m1_short, '2008', '2008-05-10', '2009-03-22', 0, 'day') +d_m1_pcu <- ecdf(nsh_dist_m1/(60*60*24)) + + + # d<-ecdf(nsh_dist[which(nsh_dist/(60*60*24) < 90 )]/(60*60*24)), # 180 ~= 6 months. par(mai=c(.9,.9,.1,.3)) @@ -267,18 +282,25 @@ par(mai=c(.9,.9,.1,.3)) x_lim_max <- 150 +print ("fuckyou 4a"); plot(d_m1_total, xlim=c(0,x_lim_max), ylim=c(0,1), axes=F, xlab="Days to Resolve", - ylab="Fraction of Offline Nodes Restored", col.hor='red', col.vert='red', pch='.', + ylab="b) Fraction of Offline Nodes Restored", col.hor='red', col.vert='red', pch='.', col.points='red', main="") +print ("fuckyou 5"); plot(d_m1_notice_bug, xlim=c(0,x_lim_max), ylim=c(0,1), xlab="Days to Resolve", col.hor='blue', col.vert='blue', pch='.', col.points='blue', lty=2, add=TRUE) +print ("fuckyou 6"); plot(d_m1_kernel_bug, xlim=c(0,x_lim_max), ylim=c(0,1), xlab="Days to Resolve", col.hor='darkgreen', col.vert='darkgreen', pch='.', col.points='darkgreen', lty=3, add=TRUE) +#plot(d_m1_pcu, xlim=c(0,x_lim_max), ylim=c(0,1), xlab="Days to Resolve", +# col.hor='purple', col.vert='purple', pch='.', +# col.points='purple', lty=4, add=TRUE) + weeks <- c(0,7,14,21,28,60,90,120,150,180) axis(1, labels=weeks, at=weeks) percentages <- c(0,0.25, 0.5, 0.75, 0.85, 0.95, 1)