public void CreateGraphInput(Constants.SimulationType simulationType)
{
ExcelManipulation excelGraph = new ExcelManipulation();
excelGraph.CreateExcelFile();
int grrow = 1;
int grcol = 1;
excelGraph.createHeaders(grrow, grcol, "Run No", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Simulation Type", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Total Budget", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Average Budget", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Average Reputation", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Min Reputation", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Max Reputation", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Growth Factor ws5", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Growth Factor ws10", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Growth Factor ws15", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Comp prob ws5", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Comp prob ws10", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Comp prob ws15", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Coop prob ws6", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Coop prob ws11", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Coop prob ws16", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Reward Chance ws5", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Reward Chance ws10", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Reward Chance ws15", "A", "B", 2, true, 10, "n");
for (int i = 0; i < avgBudget.Count; i++)
{
grrow++;
grcol = 1;
excelGraph.InsertData(grrow, grcol, i.ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, simulationType.ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, totalBudget[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, avgBudget[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, avgReputation[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, minReputation[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, maxReputation[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, growthFactor5[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, growthFactor10[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, growthFactor15[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, compProb5[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, compProb10[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, compProb15[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, coopProb6[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, coopProb11[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, coopProb16[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, rewardChance5[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, rewardChance10[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, rewardChance15[i].ToString(), "", "", "");
}
long ticks = DateTime.Now.Ticks;
excelGraph.SaveDocument("coopetitionGraph_" + simulationType + "_" + ticks + ".xls");
}
public void CreateGraphInput(Constants.SimulationType simulationType)
{
ExcelManipulation excelGraph = new ExcelManipulation();
excelGraph.CreateExcelFile();
int grrow = 1;
int grcol = 1;
excelGraph.createHeaders(grrow, grcol, "Run No", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Simulation Type", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Total Budget", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Average Budget", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Average Reputation", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Min Reputation", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Max Reputation", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Growth Factor ws5", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Growth Factor ws10", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Growth Factor ws15", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Comp prob ws5", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Comp prob ws10", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Comp prob ws15", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Coop prob ws6", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Coop prob ws11", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Coop prob ws16", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Reward Chance ws5", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Reward Chance ws10", "A", "B", 2, true, 10, "n");
excelGraph.createHeaders(grrow, ++grcol, "Reward Chance ws15", "A", "B", 2, true, 10, "n");
for (int i = 0; i < avgBudget.Count; i++)
{
grrow++;
grcol = 1;
excelGraph.InsertData(grrow, grcol, i.ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, simulationType.ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, totalBudget[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, avgBudget[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, avgReputation[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, minReputation[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, maxReputation[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, growthFactor5[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, growthFactor10[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, growthFactor15[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, compProb5[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, compProb10[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, compProb15[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, coopProb6[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, coopProb11[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, coopProb16[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, rewardChance5[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, rewardChance10[i].ToString(), "", "", "");
excelGraph.InsertData(grrow, ++grcol, rewardChance15[i].ToString(), "", "", "");
}
long ticks = DateTime.Now.Ticks;
excelGraph.SaveDocument("coopetitionGraph_" + simulationType + "_" + ticks + ".xls");
}
public void Run(Constants.SimulationType simulationType)
{
if (dtWsInitialValues.Rows.Count == 0)
{
Initialization(simulationType);
}
else
{
InitializeUsingDataTables(simulationType);
}
long start = DateTime.Now.Ticks;
for (int i = 0; i < Constants.NumberOfRuns; i++)
{
outputLog.AppendText("Iteration #" + i + "...\n");
outputLog.ScrollToCaret();
excel.CreateExcelFile();
row = 1;
col = 1;
Simulation(i + 1);
long ticks = DateTime.Now.Ticks;
excel.SaveDocument("coopetition_" + i.ToString() + "_" + ticks + ".xls");
double totBudget = 0;
double totRep = 0;
double maxRep = 0;
double minRep = 1;
for (int j = 0; j < Communities[0].Members.Count; j++)
{
totBudget += Communities[0].Members[j].Webservice.Budget;
totRep += Communities[0].Members[j].Webservice.Reputation;
if (Communities[0].Members[j].Webservice.Reputation > maxRep)
{
maxRep = Communities[0].Members[j].Webservice.Reputation;
}
if (Communities[0].Members[j].Webservice.Reputation < minRep)
{
minRep = Communities[0].Members[j].Webservice.Reputation;
}
}
for (int j = 0; j < Communities[0].Members.Count; j++)
{
totBudget += Communities[0].Members[j].Webservice.Budget;
totRep += Communities[0].Members[j].Webservice.Reputation;
if (Communities[0].Members[j].Webservice.Reputation > maxRep)
{
maxRep = Communities[0].Members[j].Webservice.Reputation;
}
if (Communities[0].Members[j].Webservice.Reputation < minRep)
{
minRep = Communities[0].Members[j].Webservice.Reputation;
}
}
int numberOfTasksDone = 0;
double totalQoSDone = 0;
int totalSatisfied = 0;
for (int j = 0; j < TaskPool.Count; j++)
{
if (TaskPool[j].PerformedQoS > 0)
{
numberOfTasksDone++;
totalQoSDone += TaskPool[j].PerformedQoS;
if (TaskPool[j].PerformedQoS > TaskPool[j].QoS + 0.2)
{
totalSatisfied++;
}
}
}
avgBudget.Add((double)totBudget / Communities[0].Members.Count);
totalBudget.Add(totBudget);
avgReputation.Add((double)totRep / Communities[0].Members.Count);
minReputation.Add(minRep);
maxReputation.Add(maxRep);
growthFactor5.Add(Communities[0].Members[5].Webservice.GrowthFactor);
growthFactor10.Add(Communities[0].Members[10].Webservice.GrowthFactor);
growthFactor15.Add(Communities[0].Members[15].Webservice.GrowthFactor);
compProb5.Add(Communities[0].Members[5].Webservice.CompetedProbability);
compProb10.Add(Communities[0].Members[10].Webservice.CompetedProbability);
compProb15.Add(Communities[0].Members[15].Webservice.CompetedProbability);
coopProb6.Add(1 - Communities[0].Members[6].Webservice.CompetedProbability);
coopProb11.Add(1 - Communities[0].Members[11].Webservice.CompetedProbability);
coopProb16.Add(1 - Communities[0].Members[16].Webservice.CompetedProbability);
rewardChance5.Add((double)Communities[0].Members[5].Webservice.NumberOfRewarded / (i + 1));
rewardChance10.Add((double)Communities[0].Members[10].Webservice.NumberOfRewarded / (i + 1));
rewardChance15.Add((double)Communities[0].Members[15].Webservice.NumberOfRewarded / (i + 1));
totalRunTaskQoS.Add((double)totalQoSDone);
totalRunTaskNumber.Add((double)numberOfTasksDone);
avergaeProvidedTaskQoS.Add((double)totalQoSDone / numberOfTasksDone);
numberOfTaskSatisfied.Add((double)totalSatisfied);
ratioOfTaskSatisfied.Add((double)totalSatisfied / numberOfTasksDone);
ReleaseTasks();
}
long end = DateTime.Now.Ticks;
outputLog.AppendText("Simulation took: " + (int)((end - start) / 10000) + " ms\n");
outputLog.AppendText("Done!\n");
outputLog.ScrollToCaret();
CreateGraphInput(simulationType);
avgBudget.Clear();
totalBudget.Clear();
avgReputation.Clear();
maxReputation.Clear();
minReputation.Clear();
growthFactor5.Clear();
growthFactor10.Clear();
growthFactor15.Clear();
compProb5.Clear();
compProb10.Clear();
compProb15.Clear();
coopProb6.Clear();
coopProb11.Clear();
coopProb16.Clear();
totalRunTaskQoS.Clear();
totalRunTaskNumber.Clear();
avergaeProvidedTaskQoS.Clear();
numberOfTaskSatisfied.Clear();
ratioOfTaskSatisfied.Clear();
MessageBox.Show("Done!");
}
