Description Usage Arguments Details Author(s) References Examples
View source: R/cloudUtilPlot.R
On the utilization graphic each horizontal line indicates the start and the end of one job. Color groups different runs.
1 2 3 4 5 6 | cloudUtilPlot(group, begin, end, id,
colormap,
normalize,
plotConcurrent,
plotConcurrentMax,
main)
|
begin |
a time series of the starting events; the time format is unix time stamp (seconds since Jan 01 1970). |
end |
a time series of the corresponding ending events. |
id |
identifyer of each event. |
group |
group of each event. |
main |
an overall title for the plot. |
colormap |
color vector for the data. default is the rainbow colormap having as much colors as we have groups. |
normalize |
normalizes the time in a way that the groups are relative to each other; default is set to TRUE. |
plotConcurrent |
plot concurrent running tasks as solid lines; default is set to TRUE. |
plotConcurrentMax |
plot maximum of concurrent running tasks; default is set to FALSE. |
The cloudUtilPlot function reqires the four arguments begin,
end, group, and id. All other arguments are optional.
Christian Panse
Tyanko Aleksiev, Simon Barkow, Peter Kunszt, Sergio Maffioletti, Riccardo Murri, Christian Panse (2013), VM-MAD: a cloud/cluster software for service-oriented academic environments, https://arxiv.org/abs/1302.2529.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | data(cloudms2)
#green
col.amazon<-rgb(0.1,0.8,0.1,alpha=0.2)
col.amazon2<-rgb(0.1,0.8,0.1,alpha=0.2)
#blue
col.fgcz<-rgb(0.1,0.1,0.8,alpha=0.2)
col.fgcz2<-rgb(0.1,0.1,0.5,alpha=0.2)
#red
col.uzh<-rgb(0.8,0.1,0.1,alpha=0.2)
col.uzh2<-rgb(0.5,0.1,0.1,alpha=0.2)
cm<-c(col.amazon, col.amazon2, col.fgcz, col.fgcz2, col.uzh, col.uzh2)
cloudUtilPlot(begin=cloudms2$BEGIN_PROCESS,
end=cloudms2$END_PROCESS,
id=cloudms2$id,
group=cloudms2$CLOUD,
colormap=cm,
normalize=FALSE,
plotConcurrent=TRUE);
cloudUtilPlot(begin=cloudms2$BEGIN_PROCESS,
end=cloudms2$END_PROCESS,
id=cloudms2$id,
group=cloudms2$CLOUD,
colormap=cm,
normalize=TRUE,
plotConcurrent=TRUE)
|
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