Increase historic size
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2 changed files with 32 additions and 5 deletions
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@ -2,28 +2,55 @@ library(ggplot2)
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library(sqldf)
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library(plyr)
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library(dplyr)
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library(cowplot)
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d <- read.csv("../../donar-res/tmp_light/boxplot1.csv")
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d <- read.csv("../../donar-res/tmp_light/boxplot4.csv")
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d$strat <- as.factor(d$strat)
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d$window <- as.factor(d$window)
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#d$decile <- factor(d$decile, levels = c("MIN", "D0.1", "D1", "D25", "D50", "D75", "D99", "D99.9"))
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d$decile <-factor(d$decile,levels=c("MAX", "D99.9", "D99", "D75", "D50", "D25", "D1", "D0.1", "MIN"))
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d$strat <- revalue(d$strat, c("1"="T", "0"="D"))
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d <- d %>% mutate (lat = latency / 1000)
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ggplot(sqldf("select * from d where decile != 'MAX'") %>% arrange(decile), aes(x=strat:window,y=lat,group=decile,fill=decile)) +
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gd <- ggplot(sqldf("select * from d where decile != 'MAX'") %>% arrange(decile), aes(x=strat:window,y=lat,group=decile,fill=decile)) +
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geom_bar(stat='identity', position='identity') +
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scale_fill_grey() +
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ylab("Latency (ms)") +
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xlab("Strategy:Window") +
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coord_cartesian(ylim=c(0,600)) +
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geom_hline(yintercept = 200) +
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geom_hline(yintercept = 400) +
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theme_classic()
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e <- read.csv("../../donar-res/tmp_light/boxplot2.csv")
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e <- read.csv("../../donar-res/tmp_light/boxplot5.csv")
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e$strat <- as.factor(e$strat)
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e$links <- as.factor(e$links)
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e$strat <- revalue(e$strat, c("1"="T", "0"="D"))
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e$decile <-factor(e$decile,levels=c("MAX", "D99.9", "D99", "D75", "D50", "D25", "D1", "D0.1", "MIN"))
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e <- e %>% mutate (lat = latency / 1000)
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ggplot(sqldf("select * from e where decile != 'MAX'") %>% arrange(decile), aes(x=strat:links,y=lat,group=decile,fill=decile)) +
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ge <- ggplot(sqldf("select * from e where decile != 'MAX'") %>% arrange(decile), aes(x=strat:links,y=lat,group=decile,fill=decile)) +
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geom_bar(stat='identity', position='identity') +
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scale_fill_grey() +
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ylab("Latency (ms)") +
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xlab("Strategy:Links") +
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geom_hline(yintercept = 200) +
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geom_hline(yintercept = 400) +
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coord_cartesian(ylim=c(0,600)) +
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theme_classic()
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f <- read.csv("../../donar-res/tmp_light/boxplot3.csv")
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f$strat <- as.factor(f$strat)
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f$strat <- revalue(f$strat, c("1"="T", "0"="D"))
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f$fast_count <- as.factor(f$fast_count)
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f$decile <-factor(f$decile,levels=c("MAX", "D99.9", "D99", "D75", "D50", "D25", "D1", "D0.1", "MIN"))
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f <- f %>% mutate (lat = latency / 1000)
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gf <- ggplot(sqldf("select * from f where decile != 'MAX'") %>% arrange(decile), aes(x=strat:fast_count,y=lat,group=decile,fill=decile)) +
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geom_bar(stat='identity', position='identity') +
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scale_fill_grey() +
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geom_hline(yintercept = 200) +
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geom_hline(yintercept = 400) +
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coord_cartesian(ylim=c(0,600)) +
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ylab("Latency (ms)") +
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xlab("Strategy:Fast Links") +
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theme_classic()
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plot_grid(gd, ge, gf, ncol=1) + ggsave("light_config.png", dpi=300, dev='png', height=20, width=20, units="cm")
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@ -6,7 +6,7 @@
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#include "timer.h"
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#include "proxy.h"
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#include "measure.h"
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#define HISTORIC_SIZE 256
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#define HISTORIC_SIZE 2048
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#define MAX_LINKS 64
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enum ooo_state {
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