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- #
- # Copyright (C) 2012 Opensim Ltd.
- # Author: Tamas Borbely
- #
- # This program is free software; you can redistribute it and/or
- # modify it under the terms of the GNU Lesser General Public License
- # as published by the Free Software Foundation; either version 2
- # of the License, or (at your option) any later version.
- #
- # This program is distributed in the hope that it will be useful,
- # but WITHOUT ANY WARRANTY; without even the implied warranty of
- # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- # GNU Lesser General Public License for more details.
- #
- # You should have received a copy of the GNU Lesser General Public License
- # along with this program; if not, see <http://www.gnu.org/licenses/>.
- #
- require(omnetpp)
- require(ggplot2)
- dataset <- loadDataset(c("results/Exp1*-0.sca", "results/Exp1*-0.vec"))
- configs <- with(subset(dataset$runattrs, attrname=="configname"),
- data.frame(runid=runid,
- config=as.character(attrvalue),
- stringsAsFactors=FALSE))
- scalars <- merge(dataset$scalars, configs, by="runid")
- vectors <- merge(dataset$vectors, configs, by="runid")
- medianOfVector <- function(vectorkey) {
- d <- loadVectors(dataset, vectorkey)
- median(d$vectordata$y)
- }
- moduleToSLA <- function(module) {
- if (grepl("\\.H1\\.", module) || grepl("\\.H5\\.", module))
- "SLA1"
- else if (grepl("\\.H2\\.", module) || grepl("\\.H6\\.", module))
- "SLA2"
- else if (grepl("\\.H3\\.", module) || grepl("\\.H7\\.", module))
- "SLA3"
- else if (grepl("\\.H4\\.", module) || grepl("\\.H8\\.", module))
- "SLA4"
- else
- NA_character_
- }
- scalars <- transform(scalars, SLA=sapply(module, moduleToSLA))
- vectors <- transform(vectors, SLA=sapply(module, moduleToSLA))
- computePkLoss <- function(appType) { # 0 = voice, 1 = video
- senderModules <- paste('H[1-4].*udpApp\\[',appType,'\\]', sep='')
- receiverModules <- paste('H[5-8].*udpApp\\[',appType,'\\]', sep='')
- d <- cast(scalars, config+SLA~name, value='value',
- subset= ((grepl(senderModules, module) & name=='sentPk:count') |
- (grepl(receiverModules, module) & name=='rcvdPk:count')))
- transform(d, loss=(`sentPk:count`-`rcvdPk:count`)/`sentPk:count`)
- }
- # voice loss
- voicePkLoss <- computePkLoss(0)
- voicePkLoss.plot <- ggplot(voicePkLoss, aes(x=config, y=loss, fill=SLA)) +
- geom_bar(position='dodge') +
- opts(title='Exp 1 Loss Average (voice)')
- # video loss
- videoPkLoss <- computePkLoss(1)
- videoPkLoss.plot <- ggplot(videoPkLoss, aes(x=config, y=loss, fill=SLA)) +
- geom_bar(position='dodge') +
- opts(title='Exp 1 Loss Average (video)')
- # voice delay
- voiceDelay <- subset(vectors, grepl('H[5-8].*udpApp\\[0\\]', module) & name=='endToEndDelay:vector')
- voiceDelay <- transform(voiceDelay, medianDelay=sapply(resultkey, medianOfVector))
- voiceDelay.plot <- ggplot(voiceDelay, aes(x=config, y=medianDelay, fill=SLA)) +
- geom_bar(position='dodge') +
- opts(title="Exp 1 Delay Median (voice)")
- # video delay
- videoDelay <- subset(vectors, grepl('H[5-8].*udpApp\\[1\\]', module) & name=='endToEndDelay:vector')
- videoDelay <- transform(videoDelay, medianDelay=sapply(resultkey, medianOfVector))
- videoDelay.plot <- ggplot(videoDelay, aes(x=config, y=medianDelay, fill=SLA)) +
- geom_bar(position='dodge') +
- opts(title="Exp 1 Delay Median (video)")
- #
- # Part 2: displaying R2 queue statistics
- #
- modulesToDscps <- function(modules) {
- sub('.*\\.(.*?)x?Queue', '\\U\\1', modules, perl=TRUE)
- }
- queueScalars <- subset(scalars, grepl('R2.*ppp\\[2\\].*Queue', module) & config!='Exp17')
- queueScalars <- transform(queueScalars, dscp=modulesToDscps(module))
- queueScalars <- subset(queueScalars, dscp!='BE')
- queueVectors <- subset(vectors, grepl('R2.*ppp\\[2\\].*Queue', module) & config!='Exp17')
- queueVectors <- transform(queueVectors, dscp=modulesToDscps(module))
- queueVectors <- subset(queueVectors, dscp!='BE')
- # R2.ppp[2] queue packet loss
- queuePkLoss <- cast(queueScalars, config+dscp~name, value='value',
- subset=(name=='rcvdPk:count' | name=='dropPk:count'))
- queuePkLoss <- transform(queuePkLoss, loss=`dropPk:count`/`rcvdPk:count`)
- queuePkLoss.plot <- ggplot(queuePkLoss, aes(x=config, y=loss, fill=dscp)) +
- geom_bar(position='dodge') +
- opts(title='Exp 1 R2 Queue Packet Loss')
- # R2.ppp[2] queue delay
- queueDelay <- subset(queueVectors, name=='queueingTime:vector')
- queueDelay <- transform(queueDelay, delay=sapply(resultkey, medianOfVector))
- queueDelay.plot <- ggplot(queueDelay, aes(x=config, y=delay, fill=dscp)) +
- geom_bar(position='dodge') +
- opts(title='Exp 1 R2 Queue Delay')
- # R2.ppp[2] queue length
- queueLength <- subset(queueScalars,
- name=='queueLength:timeavg',
- c('config', 'dscp', 'value'))
- queueLength.plot <- ggplot(queueLength, aes(x=config, y=value, fill=dscp)) +
- geom_bar(position='dodge') +
- opts(title='Exp 1 R2 - Average Queue Length')
- plotAll <- function() {
- plot <- function(p) {
- if (names(dev.cur())!='RStudioGD')
- dev.new()
- print(p)
- }
- plot(voicePkLoss.plot)
- plot(videoPkLoss.plot)
- plot(voiceDelay.plot)
- plot(videoDelay.plot)
- plot(queuePkLoss.plot)
- plot(queueDelay.plot)
- plot(queueLength.plot)
- }
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