Update scripts
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2 changed files with 33 additions and 4 deletions
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@ -3,7 +3,7 @@ library(sqldf)
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library(plyr)
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library(cowplot)
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thunder_ms <- read.csv("thunder_configure_6.csv")
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thunder_ms <- read.csv("thunder_configure_7.csv")
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thunder_ms <- sqldf("select run,jmax,links,latency, CAST(latency as real) / 1000. as lat_ms from thunder_ms")
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thunder_ms$links <- as.factor(thunder_ms$links)
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@ -12,7 +12,7 @@ thunder_ms$jmax <- as.factor(thunder_ms$jmax)
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v1 <- ggplot(data = thunder_ms, aes(x = jmax, y=lat_ms, fill=links)) +
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geom_boxplot() +
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scale_fill_grey() +
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ylim(0,1000) +
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scale_y_log10() +
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ylab("latency (ms)") +
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xlab("max allowed jitter") +
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theme_classic()
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@ -20,3 +20,30 @@ v1 <- ggplot(data = thunder_ms, aes(x = jmax, y=lat_ms, fill=links)) +
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v1 + ggsave("thunder_configure_ms.png", dpi=300, dev='png', height=5, width=15, units="cm")
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thunder_rcv <- sqldf("select run,jmax,links,(6000-COUNT(latency)*1.0)/6000 as dlv from thunder_ms group by jmax,links,run")
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thunder_rcv$jmax <- as.factor(thunder_rcv$jmax)
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thunder_rcv$links <- as.factor(thunder_rcv$links)
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v2 <- ggplot(data = thunder_rcv, aes(x = jmax, y=dlv, fill=links)) +
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geom_boxplot() +
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scale_y_continuous(labels = scales::percent) +
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scale_fill_grey() +
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ylab("dropped packets") +
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xlab("max allowed jitter") +
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theme_classic()
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thunder_bw <- read.csv("thunder_configure_7_bw.csv")
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thunder_bw <- sqldf("select run,jmax,links,udp_sent,udp_rcv,cells_sent,cells_rcv,1.0*cells_sent/udp_sent as sent_ratio,1.0*cells_rcv/udp_rcv as rcv_ratio from thunder_bw where udp_sent > 4000")
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thunder_bw$jmax <- as.factor(thunder_bw$jmax)
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thunder_bw$links <- as.factor(thunder_bw$links)
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v3 <- ggplot(data = thunder_bw, aes(x = jmax, y=sent_ratio, fill=links)) +
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geom_boxplot() +
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scale_y_log10() +
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#scale_y_log10(labels = scales::percent) +
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scale_fill_grey() +
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ylab("bandwidth ratio") +
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xlab("max allowed jitter") +
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theme_classic()
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t1 <- plot_grid(v1, v2, v3, labels = c('A', 'B', 'C'), ncol=1)
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t1 + ggsave("thunder_configure.png", dpi=300, dev='png', height=15, width=15, units="cm")
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@ -6,8 +6,10 @@ library(cowplot)
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cellssec <- c("1","2","10","20")
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tor_bw <- read.csv("tor_bw_2.csv")
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tor_bw <- sqldf("select run,conf,latency, CAST(latency as real) / 1000. as lat_ms from tor_bw")
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tor_bw$conf <- as.factor(tor_bw$conf)
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tor_bw$conf <- factor(
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mapvalues(tor_bw$conf, c(0,1,2,3), cellssec),
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levels = cellssec,
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ordered = TRUE)
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gbw1 <- ggplot(data = tor_bw, aes(x = conf, y=lat_ms)) +
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geom_boxplot() +
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ylim(0,1000) +
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