static void Main(string[] args)
{
int len = 960 + 95;//11 days
string outputFile;
string mdServer = "http://scspc417.cs.uwaterloo.ca:23456/TrustedServer/";
outputFile = ".\\optimal-remoteread";
LocationInfo li = new LocationInfo("testdrive", "zRTT++dVryOWXJyAM7NM0TuQcu0Y23BgCQfkt7xh2f/Mm+r6c8/XtPTY0xxaF6tPSACJiuACsjotDeNIVyXM8Q==", SynchronizerType.Azure);
int[] chunkSizes = { 960, 480, 320, 240, 160, 120, 60, 30, 20, 10 };
foreach (int chunk in chunkSizes)
{
NaivePreHeat_remoteread preheat = new NaivePreHeat_remoteread(null, 5, outputFile, chunk, mdServer, li, len);
List <long> r = new List <long>();
for (int i = 1; i <= 10; i++)
{
r.Add(preheat.PredictOccupancy(960, len).ElementAt(0).getVal());// 11th day
}
long mean = ListExtensions.Mean(r);
double std = ListExtensions.StandardDeviation(r);
StreamWriter results;
using (results = File.AppendText("avg-ret-time-chunksize.txt"))
results.WriteLine("{0} {1} {2}", chunk, mean, std);
}
/*
* outputFile = ".\\smart";
* SmartPreHeat spreheat = new SmartPreHeat(null, 5, outputFile);
* spreheat.PredictOccupancy(0, len);
*
* CreateDayMax(outputFile, 3);
* CreateDayMax(outputFile, 4);
* CreateDayMax(outputFile, 5);
*
*
* outputFile = ".\\optimal";
* OptimalPreHeat preheat = new OptimalPreHeat(null, 5, outputFile);
* preheat.PredictOccupancy(0, len);
*
* CreateDayMax(outputFile, 3);
* CreateDayMax(outputFile, 4);
* CreateDayMax(outputFile, 5);
*
*
* outputFile = ".\\naive";
* NaivePreHeat npreheat = new NaivePreHeat(null, 5, outputFile);
* npreheat.PredictOccupancy(0, len);
*
* CreateDayMax(outputFile, 3);
* CreateDayMax(outputFile, 4);
* CreateDayMax(outputFile, 5);
*
*/
}
static void Main(string[] args)
{
int len =960 + 95;//11 days
string outputFile;
string mdServer = "http://scspc417.cs.uwaterloo.ca:23456/TrustedServer/";
outputFile = ".\\optimal-remoteread";
LocationInfo li = new LocationInfo("testdrive", "zRTT++dVryOWXJyAM7NM0TuQcu0Y23BgCQfkt7xh2f/Mm+r6c8/XtPTY0xxaF6tPSACJiuACsjotDeNIVyXM8Q==", SynchronizerType.Azure);
int[] chunkSizes = {960, 480, 320,240,160,120,60,30,20,10};
foreach (int chunk in chunkSizes)
{
NaivePreHeat_remoteread preheat = new NaivePreHeat_remoteread(null, 5, outputFile, chunk, mdServer , li, len);
List<long> r= new List<long>();
for (int i = 1; i <= 10; i++)
{
r.Add(preheat.PredictOccupancy(960, len).ElementAt(0).getVal());// 11th day
}
long mean = ListExtensions.Mean(r);
double std = ListExtensions.StandardDeviation(r);
StreamWriter results;
using (results = File.AppendText("avg-ret-time-chunksize.txt"))
results.WriteLine("{0} {1} {2}", chunk, mean, std);
}
/*
outputFile = ".\\smart";
SmartPreHeat spreheat = new SmartPreHeat(null, 5, outputFile);
spreheat.PredictOccupancy(0, len);
CreateDayMax(outputFile, 3);
CreateDayMax(outputFile, 4);
CreateDayMax(outputFile, 5);
outputFile = ".\\optimal";
OptimalPreHeat preheat = new OptimalPreHeat(null, 5, outputFile);
preheat.PredictOccupancy(0, len);
CreateDayMax(outputFile, 3);
CreateDayMax(outputFile, 4);
CreateDayMax(outputFile, 5);
outputFile = ".\\naive";
NaivePreHeat npreheat = new NaivePreHeat(null, 5, outputFile);
npreheat.PredictOccupancy(0, len);
CreateDayMax(outputFile, 3);
CreateDayMax(outputFile, 4);
CreateDayMax(outputFile, 5);
*/
}
