edgecloudsim/scripts/sample_app1/matlab/plotGenericResult.m
Cagatay Sonmez d4545f009f major modifications for v2.0 release
Release notes

1- Cloud server processing was simplified in the initial version, it is handled via cloudsim components now.

2- Cloud server manager, edge server manager, mobile device manager and vm allocation policy are used as abstract class in factory pattern to allow developers to use different business logic without modifying EdgeCloudSim source code.

3- The task and place types are no longer defined as enumeration. They are used as integer value in order to manipulate more place type without modifying enum variable.

4- Two sample applications (one of them is simple and the other one extended application) are added along with the corresponding matlab files to plot statistics.

5- Cloud server properties are added to the simulation settings file

6- New log items are added to simulation result files

7- Code refactoring is applied including the modification of comments
2018-09-10 14:22:27 +03:00

149 lines
5.9 KiB
Matlab

function [] = plotGenericResult(rowOfset, columnOfset, yLabel, appType, calculatePercentage)
folderPath = getConfiguration(1);
numOfSimulations = getConfiguration(2);
startOfMobileDeviceLoop = getConfiguration(3);
stepOfMobileDeviceLoop = getConfiguration(4);
endOfMobileDeviceLoop = getConfiguration(5);
xTickLabelCoefficient = getConfiguration(6);
scenarioType = getConfiguration(7);
legends = getConfiguration(8);
numOfMobileDevices = (endOfMobileDeviceLoop - startOfMobileDeviceLoop)/stepOfMobileDeviceLoop + 1;
pos=getConfiguration(9);
all_results = zeros(numOfSimulations, size(scenarioType,2), numOfMobileDevices);
min_results = zeros(size(scenarioType,2), numOfMobileDevices);
max_results = zeros(size(scenarioType,2), numOfMobileDevices);
for s=1:numOfSimulations
for i=1:size(scenarioType,2)
for j=1:numOfMobileDevices
try
mobileDeviceNumber = startOfMobileDeviceLoop + stepOfMobileDeviceLoop * (j-1);
filePath = strcat(folderPath,'\ite',int2str(s),'\SIMRESULT_',char(scenarioType(i)),'_NEXT_FIT_',int2str(mobileDeviceNumber),'DEVICES_',appType,'_GENERIC.log')
readData = dlmread(filePath,';',rowOfset,0);
value = readData(1,columnOfset);
if(strcmp(calculatePercentage,'percentage_for_all'))
readData = dlmread(filePath,';',1,0);
totalTask = readData(1,1)+readData(1,2);
value = (100 * value) / totalTask;
elseif(strcmp(calculatePercentage,'percentage_for_completed'))
readData = dlmread(filePath,';',1,0);
totalTask = readData(1,1);
value = (100 * value) / totalTask;
elseif(strcmp(calculatePercentage,'percentage_for_failed'))
readData = dlmread(filePath,';',1,0);
totalTask = readData(1,2);
value = (100 * value) / totalTask;
end
all_results(s,i,j) = value;
catch err
error(err)
end
end
end
end
if(numOfSimulations == 1)
results = all_results;
else
results = mean(all_results); %still 3d matrix but 1xMxN format
end
results = squeeze(results); %remove singleton dimensions
for i=1:size(scenarioType,2)
for j=1:numOfMobileDevices
x=all_results(:,i,j); % Create Data
SEM = std(x)/sqrt(length(x)); % Standard Error
ts = tinv([0.05 0.95],length(x)-1); % T-Score
CI = mean(x) + ts*SEM; % Confidence Intervals
if(CI(1) < 0)
CI(1) = 0;
end
if(CI(2) < 0)
CI(2) = 0;
end
min_results(i,j) = results(i,j) - CI(1);
max_results(i,j) = CI(2) - results(i,j);
end
end
types = zeros(1,numOfMobileDevices);
for i=1:numOfMobileDevices
types(i)=startOfMobileDeviceLoop+((i-1)*stepOfMobileDeviceLoop);
end
hFig = figure;
set(hFig, 'Units','centimeters');
set(hFig, 'Position',pos);
set(0,'DefaultAxesFontName','Times New Roman');
set(0,'DefaultTextFontName','Times New Roman');
set(0,'DefaultAxesFontSize',10);
set(0,'DefaultTextFontSize',12);
if(getConfiguration(20) == 1)
for i=1:1:numOfMobileDevices
xIndex=startOfMobileDeviceLoop+((i-1)*stepOfMobileDeviceLoop);
markers = getConfiguration(50);
for j=1:size(scenarioType,2)
plot(xIndex, results(j,i),char(markers(j)),'MarkerFaceColor',getConfiguration(20+j),'color',getConfiguration(20+j));
hold on;
end
end
for j=1:size(scenarioType,2)
if(getConfiguration(12) == 1)
errorbar(types, results(j,:), min_results(j,:),max_results(j,:),':k','color',getConfiguration(20+j),'LineWidth',1.5);
else
plot(types, results(j,:),':k','color',getConfiguration(20+j),'LineWidth',1.5);
end
hold on;
end
set(gca,'color','none');
else
markers = getConfiguration(40);
for j=1:size(scenarioType,2)
if(getConfiguration(12) == 1)
errorbar(types, results(j,:),min_results(j,:),max_results(j,:),char(markers(j)),'MarkerFaceColor','w','LineWidth',1.2);
else
plot(types, results(j,:),char(markers(j)),'MarkerFaceColor','w','LineWidth',1.2);
end
hold on;
end
end
lgnd = legend(legends,'Location','NorthWest');
if(getConfiguration(20) == 1)
set(lgnd,'color','none');
end
hold off;
axis square
xlabel(getConfiguration(10));
set(gca,'XTick', (startOfMobileDeviceLoop*xTickLabelCoefficient):(stepOfMobileDeviceLoop*xTickLabelCoefficient):endOfMobileDeviceLoop);
set(gca,'XTickLabel', (startOfMobileDeviceLoop*xTickLabelCoefficient):(stepOfMobileDeviceLoop*xTickLabelCoefficient):endOfMobileDeviceLoop);
ylabel(yLabel);
set(gca,'XLim',[startOfMobileDeviceLoop-5 endOfMobileDeviceLoop+5]);
set(get(gca,'Xlabel'),'FontSize',12)
set(get(gca,'Ylabel'),'FontSize',12)
set(lgnd,'FontSize',11)
if(getConfiguration(11) == 1)
set(hFig, 'PaperUnits', 'centimeters');
set(hFig, 'PaperPositionMode', 'manual');
set(hFig, 'PaperPosition',[0 0 pos(3) pos(4)]);
set(gcf, 'PaperSize', [pos(3) pos(4)]); %Keep the same paper size
filename = strcat(folderPath,'\',int2str(rowOfset),'_',int2str(columnOfset),'_',appType);
saveas(gcf, filename, 'pdf');
end
end