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Use existing Mean and Variance functions

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Available in github.com/montanaflynn/stats
This commit is contained in:
Akash Kothawale 2018-02-03 19:37:30 -05:00 • committed by Pradyumna Kaushik
parent 46be28ef8d
commit 39d1cf980c
2 changed files with 5 additions and 21 deletions
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9
pcp/pcp.go
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@ -10,6 +10,7 @@ import (
"os/exec"
"syscall"
"time"
"github.com/montanaflynn/stats"
)
func Start(quit chan struct{}, logging *bool, logMType chan elecLogDef.LogMessageType, logMsg chan string, s scheduler.Scheduler) {
@ -65,10 +66,10 @@ func Start(quit chan struct{}, logging *bool, logMType chan elecLogDef.LogMessag
}
}
cpuVariance := calcVariance(cpuUtils)
cpuTaskSharesVariance := calcVariance(cpuTaskShares)
memVariance := calcVariance(memUtils)
memTaskSharesVariance := calcVariance(memTaskShares)
cpuVariance, _ := stats.Variance(cpuUtils)
cpuTaskSharesVariance, _ := stats.Variance(cpuTaskShares)
memVariance, _ := stats.Variance(memUtils)
memTaskSharesVariance, _ := stats.Variance(memTaskShares)
logMType <- elecLogDef.DEG_COL
logMsg <- fmt.Sprintf("%f, %f, %f, %f", cpuVariance, cpuTaskSharesVariance, memVariance, memTaskSharesVariance)