Final Commit

BandwidthVsFragSize.C

@@ -0,0 +1,141 @@
+void BandwidthVsFragSize() {
+    gROOT->SetBatch(kTRUE);
+    auto f1000 = "./mean_1k_std_400_meantime_20ms_stddevtime_10ms.csv";
+    auto f1000_df = ROOT::RDF::MakeCsvDataFrame(f1000, true, ';');
+    auto f1000_nc = f1000_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f500 = "./mean_500_std_200_meantime_10ms_stddevtime_5ms.csv";
+    auto f500_df = ROOT::RDF::MakeCsvDataFrame(f500, true, ';');
+    auto f500_nc = f500_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f200 = "./mean_200_std_80_meantime_4ms_stddevtime_2ms.csv";
+    auto f200_df = ROOT::RDF::MakeCsvDataFrame(f200, true, ';');
+    auto f200_nc = f200_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f100 = "./mean_100_std_40_meantime_2ms_stddevtime_1ms.csv";
+    auto f100_df = ROOT::RDF::MakeCsvDataFrame(f100, true, ';');
+    auto f100_nc = f100_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f40 = "./mean_40_std_16_meantime_1ms_stddevtime_0ms.csv";
+    auto f40_df = ROOT::RDF::MakeCsvDataFrame(f40, true, ';');
+    auto f40_nc = f40_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+    
+    auto f4 = "./mean_4_std_0_meantime_0ms_stddevtime_0ms.csv";
+    auto f4_df = ROOT::RDF::MakeCsvDataFrame(f4, true, ';');
+    auto f4_nc = f4_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+
+    auto canvas = new TCanvas("c", "c", 2800, 1000);
+    
+    //canvas->SetLogx();
+    //canvas->SetGrid();
+    //canvas->SetLogy();
+    canvas->Divide(2,1);
+    gStyle->SetPalette(1);
+
+    
+    canvas->cd(1);
+    gPad->SetRightMargin(0.05);
+    gPad->SetLeftMargin(0.15);
+    gPad->SetGrid();
+
+    
+
+    auto g1000 = f1000_nc.Graph("timeout_ms", "bandwidth");
+    g1000->SetTitle("Bandwidth vs Timeout: Linear;Timeout [ms];Bandwidth [kB/s]");
+    g1000->SetName("g1000");
+    g1000->SetMarkerStyle(55);
+    g1000->SetMarkerSize(2);
+    g1000->SetLineWidth(2);
+
+
+    //sel_g->GetXaxis()->SetLimits(-50,1000);
+    g1000->GetHistogram()->SetMinimum(0);
+    g1000->GetHistogram()->SetMaximum(15000);
+
+    g1000->DrawClone("ALP PLC PMC");
+
+    auto g500 = f500_nc.Graph("timeout_ms", "bandwidth");
+    g500->SetName("g500");
+    g500->SetMarkerStyle(55);
+    g500->SetMarkerSize(2);
+    g500->SetLineWidth(2);
+
+    g500->DrawClone("LP PLC PMC");
+
+    auto g200 = f200_nc.Graph("timeout_ms", "bandwidth");
+    g200->SetName("g200");
+    g200->SetMarkerStyle(55);
+    g200->SetMarkerSize(2);
+    g200->SetLineWidth(2);
+
+    g200->DrawClone("LP PLC PMC");
+
+    auto g100 = f100_nc.Graph("timeout_ms", "bandwidth");
+    g100->SetName("g100");
+    g100->SetMarkerStyle(55);
+    g100->SetMarkerSize(2);
+    g100->SetLineWidth(2);
+
+    g100->DrawClone("LP PLC PMC");
+
+    auto g40 = f40_nc.Graph("timeout_ms", "bandwidth");
+    g40->SetName("g40");
+    g40->SetMarkerStyle(55);
+    g40->SetMarkerSize(2);
+    g40->SetLineWidth(2);
+
+    g40->DrawClone("LP PLC PMC");
+
+    auto g4 = f4_nc.Graph("timeout_ms", "bandwidth");
+    g4->SetName("g4");
+    g4->SetMarkerStyle(55);
+    g4->SetMarkerSize(2);
+    g4->SetLineWidth(2);
+
+    g4->DrawClone("LP PLC PMC");
+
+    auto leg = new TLegend(0.55,0.15,0.86,0.37);
+    leg->SetHeader("Mean Fragment Size", "c");
+    leg->AddEntry("g1000","1 kB","lp");
+    leg->AddEntry("g500","500 B","lp");
+    leg->AddEntry("g200","200 B","lp");
+    leg->AddEntry("g100","100 B","lp");
+    leg->AddEntry("g40","40 B","lp");
+    leg->AddEntry("g4","4 B","lp");
+    leg->Draw();
+
+    canvas->cd(2);
+    gPad->SetRightMargin(0.1);
+    gPad->SetLeftMargin(0.1);
+    gPad->SetLogy();
+    gPad->SetGrid();
+
+
+    g1000->SetTitle("Bandwidth vs Timeout: Log;Timeout [ms];Bandwidth [kB/s]");
+    g1000->GetHistogram()->SetMinimum(1);
+    g1000->GetHistogram()->SetMaximum(20000);
+
+    g1000->DrawClone("ALP PLC PMC");
+    g500->DrawClone("LP PLC PMC");
+    g200->DrawClone("LP PLC PMC");
+    g100->DrawClone("LP PLC PMC");
+    g40->DrawClone("LP PLC PMC");
+    g4->DrawClone("LP PLC PMC");
+    leg->Draw();
+
+
+    
+    
+    //gStyle->SetLegendTextSize(0.01);
+
+
+    
+
+    //canvas->BuildLegend(0.65,0.2,0.86,0.32, "Connection Method");
+
+    canvas->Print("TimeoutVsBandwidth.png");
+
+    gROOT->SetBatch(kFALSE);
+    gApplication->Terminate(0);
+}

DropRate.C

@@ -0,0 +1,114 @@
+void DropRate() {
+    gROOT->SetBatch(kTRUE);
+    auto f1000 = "./mean_1k_std_400_meantime_20ms_stddevtime_10ms.csv";
+    auto f1000_df = ROOT::RDF::MakeCsvDataFrame(f1000, true, ';');
+    auto f1000_nc = f1000_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f500 = "./mean_500_std_200_meantime_10ms_stddevtime_5ms.csv";
+    auto f500_df = ROOT::RDF::MakeCsvDataFrame(f500, true, ';');
+    auto f500_nc = f500_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f200 = "./mean_200_std_80_meantime_4ms_stddevtime_2ms.csv";
+    auto f200_df = ROOT::RDF::MakeCsvDataFrame(f200, true, ';');
+    auto f200_nc = f200_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f100 = "./mean_100_std_40_meantime_2ms_stddevtime_1ms.csv";
+    auto f100_df = ROOT::RDF::MakeCsvDataFrame(f100, true, ';');
+    auto f100_nc = f100_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f40 = "./mean_40_std_16_meantime_1ms_stddevtime_0ms.csv";
+    auto f40_df = ROOT::RDF::MakeCsvDataFrame(f40, true, ';');
+    auto f40_nc = f40_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+    
+    auto f4 = "./mean_4_std_0_meantime_0ms_stddevtime_0ms.csv";
+    auto f4_df = ROOT::RDF::MakeCsvDataFrame(f4, true, ';');
+    auto f4_nc = f4_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+
+    auto canvas = new TCanvas("c", "c", 1400, 1000);
+    
+    //canvas->SetLogx();
+    canvas->SetGrid();
+    canvas->SetLogy();
+    
+    gStyle->SetPalette(1);
+    
+
+    auto g1000 = f1000_nc.Graph("timeout_ms", "drop_rate");
+    g1000->SetTitle("Fragment Drop Rate vs Timeout;Timeout [ms];Fragment Drop Rate");
+    g1000->SetName("g1000");
+    g1000->SetMarkerStyle(55);
+    g1000->SetMarkerSize(2);
+    g1000->SetLineWidth(2);
+
+
+    //sel_g->GetXaxis()->SetLimits(-50,1000);
+    g1000->GetHistogram()->SetMinimum(1e-11);
+    g1000->GetHistogram()->SetMaximum(1e-5);
+
+    g1000->DrawClone("ALP PLC PMC");
+
+    auto g500 = f500_nc.Graph("timeout_ms", "drop_rate");
+    g500->SetName("g500");
+    g500->SetMarkerStyle(55);
+    g500->SetMarkerSize(2);
+    g500->SetLineWidth(2);
+
+    g500->DrawClone("LP PLC PMC");
+
+    auto g200 = f200_nc.Graph("timeout_ms", "drop_rate");
+    g200->SetName("g200");
+    g200->SetMarkerStyle(55);
+    g200->SetMarkerSize(2);
+    g200->SetLineWidth(2);
+
+    g200->DrawClone("LP PLC PMC");
+
+    auto g100 = f100_nc.Graph("timeout_ms", "drop_rate");
+    g100->SetName("g100");
+    g100->SetMarkerStyle(55);
+    g100->SetMarkerSize(2);
+    g100->SetLineWidth(2);
+
+    g100->DrawClone("LP PLC PMC");
+
+    auto g40 = f40_nc.Graph("timeout_ms", "drop_rate");
+    g40->SetName("g40");
+    g40->SetMarkerStyle(55);
+    g40->SetMarkerSize(2);
+    g40->SetLineWidth(2);
+
+    g40->DrawClone("LP PLC PMC");
+
+    auto g4 = f4_nc.Graph("timeout_ms", "drop_rate");
+    g4->SetName("g4");
+    g4->SetMarkerStyle(55);
+    g4->SetMarkerSize(2);
+    g4->SetLineWidth(2);
+
+    g4->DrawClone("LP PLC PMC");
+
+    auto leg = new TLegend(0.55,0.65,0.86,0.87);
+    leg->SetHeader("Mean Fragment Size", "c");
+    leg->AddEntry("g1000","1 kB","lp");
+    leg->AddEntry("g500","500 B","lp");
+    leg->AddEntry("g200","200 B","lp");
+    leg->AddEntry("g100","100 B","lp");
+    leg->AddEntry("g40","40 B","lp");
+    leg->AddEntry("g4","4 B","lp");
+    leg->Draw();
+
+    
+    
+    //gStyle->SetLegendTextSize(0.01);
+
+
+    
+
+    //canvas->BuildLegend(0.65,0.2,0.86,0.32, "Connection Method");
+
+    canvas->Print("DropRate.png");
+
+    gROOT->SetBatch(kFALSE);
+    gApplication->Terminate(0);
+}

QueueOccup.C

@@ -0,0 +1,144 @@
+#include <vector>
+
+void constHisto(std::vector<double> &times, std::vector<double> &means, TH1F* hist, std::vector<double> &binEdges) {
+    
+
+    // Initialize vectors to store bin contents and counts
+    std::vector<double> binContents(binEdges.size() - 1, 0.0);
+    std::vector<int> binCounts(binEdges.size() - 1, 0);
+
+    // Loop through data and fill the histogram
+    for (size_t i = 0; i < times.size(); ++i) {
+        double val = means[i];
+        for (size_t j = 0; j < binEdges.size() - 1; ++j) {
+            if (times[i] >= binEdges[j] && times[i] < binEdges[j + 1]) {
+                binContents[j] += val;
+                binCounts[j]++;
+                break;
+            }
+        }
+    }
+
+    // Calculate the means for each bin and set the bin content
+    for (size_t i = 0; i < binEdges.size() - 1; ++i) {
+        double binMean = (binCounts[i] > 0) ? binContents[i] / binCounts[i] : 0;
+        hist->SetBinContent(i + 1, binMean); // Set the bin content to the mean
+    }
+}
+
+void QueueOccup() {
+    // Define your bin edges
+    gROOT->SetBatch(kTRUE);
+
+    std::vector<double> binEdges;
+    for (int i = 0; i <= 30; i++) {
+        binEdges.push_back(i);
+        if (i>=6) binEdges.push_back(i + 0.5);
+    }
+
+    //gROOT->SetBatch(kTRUE);
+    auto f100 = "./queue_occup_1kmean_20ms_timeout50ms_100clients.csv";
+    auto f100_df = ROOT::RDF::MakeCsvDataFrame(f100, true, ';');
+
+    auto f200 = "./queue_occup_1kmean_20ms_timeout50ms_200clients.csv";
+    auto f200_df = ROOT::RDF::MakeCsvDataFrame(f200, true, ';');
+
+    auto f500 = "./queue_occup_1kmean_20ms_timeout50ms_500clients.csv";
+    auto f500_df = ROOT::RDF::MakeCsvDataFrame(f500, true, ';');
+
+    auto f1000 = "./queue_occup_1kmean_20ms_timeout50ms_1000clients.csv";
+    auto f1000_df = ROOT::RDF::MakeCsvDataFrame(f1000, true, ';');
+
+    //gStyle->SetOptTitle(kFALSE);
+    gStyle->SetOptStat(0);
+
+
+    auto canvas = new TCanvas("c", "c", 1400, 1000);
+    //canvas->SetLogx();
+    canvas->SetGrid();
+    canvas->SetLogy();
+
+
+    //filteredEvents.Histo1D({"invMass", "CMS Opendata: #mu#mu mass;#mu#mu mass [GeV];Events", 512, 2, 110}, "m");
+    auto timesResult100 = f100_df.Take<double>("times");
+    auto meansResult100 = f100_df.Take<double>("means");
+
+    std::vector<double> times100 = timesResult100.GetValue();
+    std::vector<double> means100 = meansResult100.GetValue();
+
+    // Create a histogram with custom binning
+    TH1F *h100 = new TH1F("h100","Custom Histogram", binEdges.size() - 1, &binEdges[0]);
+    constHisto(times100, means100, h100, binEdges);
+
+    h100->SetLineWidth(3);
+
+
+    //filteredEvents.Histo1D({"invMass", "CMS Opendata: #mu#mu mass;#mu#mu mass [GeV];Events", 512, 2, 110}, "m");
+    auto timesResult200 = f200_df.Take<double>("times");
+    auto meansResult200 = f200_df.Take<double>("means");
+
+    std::vector<double> times200 = timesResult200.GetValue();
+    std::vector<double> means200 = meansResult200.GetValue();
+
+    // Create a histogram with custom binning
+    TH1F *h200 = new TH1F("h200","Custom Histogram", binEdges.size() - 1, &binEdges[0]);
+    constHisto(times200, means200, h200, binEdges);
+
+    h200->SetLineWidth(3);
+
+
+    //filteredEvents.Histo1D({"invMass", "CMS Opendata: #mu#mu mass;#mu#mu mass [GeV];Events", 512, 2, 110}, "m");
+    auto timesResult500 = f500_df.Take<double>("times");
+    auto meansResult500 = f500_df.Take<double>("means");
+
+    std::vector<double> times500 = timesResult500.GetValue();
+    std::vector<double> means500 = meansResult500.GetValue();
+
+    // Create a histogram with custom binning
+    TH1F *h500 = new TH1F("h500", "", binEdges.size() - 1, &binEdges[0]);
+    constHisto(times500, means500, h500, binEdges);
+
+    h500->SetLineWidth(3);
+    
+    //filteredEvents.Histo1D({"invMass", "CMS Opendata: #mu#mu mass;#mu#mu mass [GeV];Events", 512, 2, 110}, "m");
+    auto timesResult1000 = f1000_df.Take<double>("times");
+    auto meansResult1000 = f1000_df.Take<double>("means");
+
+    std::vector<double> times1000 = timesResult1000.GetValue();
+    std::vector<double> means1000 = meansResult1000.GetValue();
+
+    // Create a histogram with custom binning
+    TH1F *h1000 = new TH1F("h1000", "Custom Histogram", binEdges.size() - 1, &binEdges[0]);
+    constHisto(times1000, means1000, h1000, binEdges);
+
+    h1000->SetLineWidth(3);
+    h1000->GetYaxis()->SetRangeUser(2., 150000.);
+    h1000->GetXaxis()->SetRangeUser(5., 30.);
+
+    gStyle->SetPalette(1);
+
+    h1000->SetTitle("Queue occupancy over time; Time [s];Queue Size [elements];");
+
+    h1000->Draw("plc");
+    h500->Draw("same plc");
+    h200->Draw("same plc");
+    h100->Draw("same plc");
+
+
+    //gStyle->SetLegendTextSize(0.01);
+
+    auto leg = new TLegend(0.64,0.62,0.9,0.77);
+    leg->SetHeader("Num Clients", "c");
+    leg->AddEntry("h100","100 Clients","lp");
+    leg->AddEntry("h200","200 Clients","lp");
+    leg->AddEntry("h500","500 Clients","lp");
+    leg->AddEntry("h1000","1000 Clients","lp");
+    leg->Draw();
+
+    //canvas->BuildLegend(0.65,0.2,0.86,0.32, "Connection Method");
+
+    canvas->Print("MeanQueueOccupation.png");
+
+    gROOT->SetBatch(kFALSE);
+    gApplication->Terminate(0);
+}

TimeoutAropNoblock.C

@@ -0,0 +1,114 @@
+void TimeoutAropNoblock() {
+    gROOT->SetBatch(kTRUE);
+    
+    auto f4 = "./mean_4_std_0_meantime_0ms_stddevtime_0ms.csv";
+    auto f4_df = ROOT::RDF::MakeCsvDataFrame(f4, true, ';');
+    auto f4_nc = f4_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+    auto f4_noblock = "./mean_4_std_0_meantime_0ms_stddevtime_0ms_NODELAY.csv";
+    auto f4_noblock_df = ROOT::RDF::MakeCsvDataFrame(f4_noblock, true, ';');
+    auto f4_noblock_nc = f4_noblock_df.Define("bandwidth", "( tot_bytes/static_cast<double>(1024) ) / tot_time_taken");
+
+
+    auto canvas = new TCanvas("c", "c", 2800, 1000);
+    
+    //canvas->SetLogx();
+    //canvas->SetGrid();
+    //canvas->SetLogy();
+    canvas->Divide(2,1);
+    gStyle->SetPalette(1);
+
+    
+    canvas->cd(1);
+    gPad->SetRightMargin(0.05);
+    gPad->SetLeftMargin(0.15);
+    gPad->SetGrid();
+
+
+    auto g4 = f4_nc.Graph("timeout_ms", "bandwidth");
+    g4->SetTitle("TCP_NODELAY Effect: bandwidth;Timeout [ms];Bandwidth [kB/s];");
+    g4->SetName("g4");
+    g4->SetMarkerStyle(55);
+    g4->SetMarkerSize(2);
+    g4->SetLineWidth(2);
+
+    g4->GetHistogram()->SetMinimum(0);
+    g4->GetHistogram()->SetMaximum(4500);
+
+    g4->DrawClone("ALP PLC PMC");
+
+    auto g4_noblock = f4_noblock_nc.Graph("timeout_ms", "bandwidth");
+
+    g4_noblock->SetName("g4_noblock");
+    g4_noblock->SetMarkerStyle(55);
+    g4_noblock->SetMarkerSize(2);
+    g4_noblock->SetLineWidth(2);
+    g4_noblock->DrawClone("LP PLC PMC");
+
+    auto leg = new TLegend(0.55,0.65,0.86,0.87);
+    leg->AddEntry("g4","TCP_NODELAY not set","lp");
+    leg->AddEntry("g4_noblock","TCP_NODELAY set","lp");
+
+    leg->Draw();
+
+    canvas->cd(2);
+    gPad->SetRightMargin(0.1);
+    gPad->SetLeftMargin(0.1);
+    gPad->SetLogy();
+    gPad->SetGrid();
+
+
+    auto g4_drop = f4_nc.Graph("timeout_ms", "drop_rate");
+    g4_drop->SetTitle("TCP_NODELAY Effect: drop rate;Timeout [ms];Fragment Drop Rate;");
+    g4_drop->SetName("g4_drop");
+    g4_drop->SetMarkerStyle(55);
+    g4_drop->SetMarkerSize(2);
+    g4_drop->SetLineWidth(2);
+    g4_drop->GetHistogram()->SetMinimum(1e-11);
+    g4_drop->GetHistogram()->SetMaximum(1e-5);
+    g4_drop->DrawClone("ALP PLC PMC");
+
+    auto g4_drop_noblock = f4_noblock_nc.Graph("timeout_ms", "drop_rate");
+    g4_drop_noblock->SetTitle("TCP_NODELAY Effect: drop rate;Timeout [ms];Fragment Drop Rate;");
+    g4_drop_noblock->SetName("g4_drop_noblock");
+    g4_drop_noblock->SetMarkerStyle(55);
+    g4_drop_noblock->SetMarkerSize(2);
+    g4_drop_noblock->SetLineWidth(2);
+    g4_drop_noblock->DrawClone("LP PLC PMC");
+
+    auto leg_drop = new TLegend(0.55,0.65,0.86,0.87);
+    leg_drop->AddEntry("g4_drop","TCP_NODELAY not set","lp");
+    leg_drop->AddEntry("g4_drop_noblock","TCP_NODELAY set","lp");
+
+    leg_drop->Draw();
+
+
+/*
+
+    g1000->SetTitle("Bandwidth vs Timeout: Log;Timeout [ms];Bandwidth [kB/s]");
+    g1000->GetHistogram()->SetMinimum(1);
+    g1000->GetHistogram()->SetMaximum(20000);
+
+    g1000->DrawClone("ALP PLC PMC");
+    g500->DrawClone("LP PLC PMC");
+    g200->DrawClone("LP PLC PMC");
+    g100->DrawClone("LP PLC PMC");
+    g40->DrawClone("LP PLC PMC");
+    g4->DrawClone("LP PLC PMC");
+    leg->Draw();*/
+
+
+    
+    
+    //gStyle->SetLegendTextSize(0.01);
+
+
+    
+
+    //canvas->BuildLegend(0.65,0.2,0.86,0.32, "Connection Method");
+
+    canvas->Print("Nodelay.png");
+
+    gROOT->SetBatch(kFALSE);
+    gApplication->Terminate(0);
+}

event_builder.cxx

@@ -17,6 +17,7 @@
 #include <cstdlib>
 #include <arpa/inet.h>
 #include <netinet/in.h>
+#include <netinet/tcp.h>
 #include <sys/socket.h>
 
 #include <fcntl.h>
@@ -29,6 +30,7 @@
 #include <mutex>
 #include <atomic>
 #include <array>
+#include <numeric>
 
 #include "fragment_dataformat.h"
 #include "full_event_format.h"
@@ -37,7 +39,6 @@
 
 #define MAX_EVENTS 1024
 #define MAX_QUEUE_SIZE 1000000
-#define MAX_TIMEOUT_MICROSEC 50000000
 
 #define READER_THREADS 6
 // That's a buffer size of 64 kB, to maximize performance without it being too big, according to testing
@@ -218,11 +219,19 @@ void thradizable(int &epoll_fd, int &master_socket, std::array<ControlledQueue,
 
 }
 
+std::vector<double> times;
+std::vector<double> timed_means;
 
+double tot_time_taken = 0;
+uint32_t tot_size_full_event = 0;
+uint32_t num_events_stored = 0;
+uint32_t fragments_lost = 0;
+int fragments_per_event = max_fd - min_fd + 1;
 void builder_thread (std::array<ControlledQueue, MAX_EVENTS> &queues_array, uint32_t &runNumber) {
 
     uint32_t counter = 0;
     while (1) {
+        auto start = std::chrono::high_resolution_clock::now();
         if ( (max_fd < min_fd) || (exp_num <= 0) || ((max_fd - min_fd + 1) != exp_num)) {
             std::unique_lock<std::mutex> conn_lk(conn_mutex);
             while ( (max_fd < min_fd) || (exp_num <= 0) || ((max_fd - min_fd + 1) != exp_num)) {
@@ -231,6 +240,7 @@ void builder_thread (std::array<ControlledQueue, MAX_EVENTS> &queues_array, uint
 
             conn_lk.unlock();
         }
+        //printf("sono fuori bro");
 
         FullEvent fullEvent;
         fullEvent.headerSize = 5;
@@ -241,6 +251,7 @@ void builder_thread (std::array<ControlledQueue, MAX_EVENTS> &queues_array, uint
 
         uint32_t fullEventPayloadSize = 0;
 
+        double sumsize = 0;
 
         for (int i = min_fd; i <= max_fd; i++){
             //std::unique_lock<std::mutex> lk(queues_mutexes[i]);
@@ -278,7 +289,7 @@ void builder_thread (std::array<ControlledQueue, MAX_EVENTS> &queues_array, uint
                         delete [] buffer;
                     }
                 } catch (const TimeoutException& ex) {
-                    printf("Ho catchato\n");
+                    //printf("Ho catchato\n");
                     inCurrentEventNumber = 1;
                     Fragment& fragment = fullEvent.fragmentsArray[i - min_fd];
                     Header& header = fragment.header;
@@ -300,16 +311,36 @@ void builder_thread (std::array<ControlledQueue, MAX_EVENTS> &queues_array, uint
 
                     //fullEvent.fragmentsArray[i - min_fd] = fragment;
                     fullEventPayloadSize += fragment.header.fragmentSize;
+
+                    fragments_lost++;
                 }
             }
 
+            sumsize += queues_array[i].size();
+
             //lk.unlock();
         }
 
+        double mean = sumsize / queues_array.size();
+        //timed_means.push_back(mean);
+
         fullEvent.eventSize = fullEvent.headerSize + fullEventPayloadSize;
-        printFullEvent(fullEvent);
+        //printFullEvent(fullEvent);
+        num_events_stored = counter;
         counter++;
 
+        auto end = std::chrono::high_resolution_clock::now();
+        double time_taken = std::chrono::duration_cast<std::chrono::nanoseconds>(end - start).count();
+
+        time_taken *= 1e-9;
+
+        tot_time_taken += time_taken;
+        //times.push_back(tot_time_taken);
+        tot_size_full_event += fullEvent.eventSize;
+
+        //printf("timee %f", tot_time_taken);
+
+        if (tot_time_taken >= 30) break;
     }
 }
 
@@ -319,13 +350,17 @@ int main(int argc, char const *argv[]) {
     signal(SIGTERM, term_handler);
 
 
-    if (argc != 4) {
+    if (argc != 5) {
-        printf("Usage: %s portNumber runNumber numClients\n", argv[0]);
+        printf("Usage: %s portNumber runNumber numClients timeout_ms\n", argv[0]);
         exit(EXIT_FAILURE);
     }
     int port = atoi(argv[1]);
     uint32_t runNumber = atoi(argv[2]);
     exp_num = atoi(argv[3]);
+    int timeout_ms = atoi(argv[4]);
+
+    printf("You chose parameters: pnum %d runNum %d numClients %d timeout %d", port, runNumber, exp_num, timeout_ms);
+
     printf("Start socket port %d\n", port);
  
     int master_socket;
@@ -343,6 +378,13 @@ int main(int argc, char const *argv[]) {
         exit(EXIT_FAILURE);  
     }
 
+    if( setsockopt(master_socket, IPPROTO_TCP, TCP_NODELAY, (char *)&opt, 
+          sizeof(opt)) < 0 )  
+    {  
+        perror("setsockopt");  
+        exit(EXIT_FAILURE);  
+    }
+
     bindSocketPort(master_socket, port);
     startListening(master_socket);
 
@@ -378,7 +420,7 @@ int main(int argc, char const *argv[]) {
     // Creating the data structure and initialization with max size and timeout ez win
     std::array<ControlledQueue, MAX_EVENTS> queues_array;
     for (auto& queue : queues_array) {
-        queue.init(MAX_QUEUE_SIZE, MAX_TIMEOUT_MICROSEC);
+        queue.init(MAX_QUEUE_SIZE, timeout_ms * 1000);
     }
     
     for (int t_i = 0; t_i < READER_THREADS; t_i++) {
@@ -392,7 +434,28 @@ int main(int argc, char const *argv[]) {
     //ADD CONSUMER THREAD
 
     bdth.join();
+
+    //for (double mean : timed_means) {
+    //    printf("%.0f ", mean);
+    //}
     //sleep(30);
+    printf("fragments lost %d\n", fragments_lost);
+    printf("tot ev %d\n", num_events_stored);
+    std::ofstream outfile;
+
+    //Test on queue size over time
+    //outfile.open("queue_occup_1kmean_20ms_timeout50ms_500clients.csv");
+    //outfile << "times;means;\n";
+
+    //auto iter_times = times.begin();
+    //auto iter_sizes = timed_means.begin();
+
+    //for ( ; iter_times != times.end() && iter_sizes != timed_means.end(); (++iter_times, ++iter_sizes)) {
+    //    outfile << *iter_times << ";" << *iter_sizes << ";\n";
+    //}
+
+    outfile.open("mean_4_std_0_meantime_0ms_stddevtime_0ms_NODELAY.csv", std::ios_base::app);
+    outfile << timeout_ms << ";" << tot_time_taken << ";" << tot_size_full_event * 4 << ";" << fragments_lost/static_cast<double>(fragments_per_event * num_events_stored) << ";\n";
 
     if (close(epoll_fd)) {
         printf("Failed to close epoll file descriptor");

fragment_dataformat.h

@@ -88,7 +88,7 @@ void decode_fragment(uint32_t *buffer, Fragment &fragment) {
     fragment.header.numberOfStatusElements = buffer[6];
 
     uint32_t nStatusElements = fragment.header.numberOfStatusElements;
-    printf("Status elements bitch: %d\n", nStatusElements);
+    //printf("Status elements bitch: %d\n", nStatusElements);
     fragment.header.statusElementsArray = new uint32_t[nStatusElements];
     for (int i = 1; i <= nStatusElements; i++) {
         fragment.header.statusElementsArray[i-1] = buffer[6+i];

mean_100_std_40_meantime_2ms_stddevtime_1ms.csv

@@ -0,0 +1,8 @@
+timeout_ms;tot_time_taken;tot_bytes;drop_rate;
+10;30.0032;338459908;1.40136e-09;
+20;30.0002;346202464;1.63504e-09;
+30;30.0011;347476836;4.67159e-10;
+40;30.0012;344840600;0;
+50;30;343088860;0;
+100;30.0009;342096100;0;
+500;30.0019;348029480;0;

mean_1k_std_400_meantime_20ms_stddevtime_10ms.csv

@@ -0,0 +1,9 @@
+timeout_ms;tot_time_taken;tot_bytes;drop_rate;
+1;30.0112;256532140;3.29324e-06;
+10;30.0041;283265780;6.96389e-08;
+20;30.0076;283558440;2.32906e-10;
+30;30.015;283560020;0;
+40;30.0075;283560020;0;
+50;30.0033;283132760;0;
+100;30.0037;283560020;0;
+500;30.0114;283560020;0;

mean_200_std_80_meantime_4ms_stddevtime_2ms.csv

@@ -0,0 +1,9 @@
+timeout_ms;tot_time_taken;tot_bytes;drop_rate;
+1;30;313136400;2.72251e-06;
+10;30.0067;313893980;4.43098e-09;
+20;30.0003;314276532;9.3284e-10;
+30;30.0041;313943316;4.66419e-10;
+40;30.0013;314238880;0;
+50;30.0029;314098020;0;
+100;30.0004;314189260;0;
+500;30.0018;314005180;0;

mean_40_std_16_meantime_1ms_stddevtime_0ms.csv

@@ -0,0 +1,9 @@
+timeout_ms;tot_time_taken;tot_bytes;drop_rate;
+1;30;361365412;7.99154e-07;
+10;30;359955860;7.26272e-09;
+20;30.0005;360052872;1.87425e-09;
+30;30.0009;359275124;4.68557e-10;
+40;30.0011;358812120;2.34276e-10;
+50;30.0015;358824140;0;
+100;30.0002;357773020;2.34272e-10;
+500;30.0007;357413400;0;

mean_4_std_0_meantime_0ms_stddevtime_0ms.csv

@@ -0,0 +1,9 @@
+timeout_ms;tot_time_taken;tot_bytes;drop_rate;
+1;30.0098;3867164;1.05697e-06;
+10;30.1872;1088984;2.7219e-07;
+20;30.1364;589124;2.16537e-07;
+30;30.2068;432292;1.11062e-07;
+40;30.0934;1222700;8.89452e-08;
+50;30.1007;3751324;6.63657e-08;
+100;30.1293;3395060;3.93532e-08;
+500;30.1592;2460220;3.02707e-09;

mean_4_std_0_meantime_0ms_stddevtime_0ms_NODELAY.csv

@@ -0,0 +1,9 @@
+timeout_ms;tot_time_taken;tot_bytes;drop_rate;
+1;30;126287872;7.86345e-07;
+10;30.1036;72796028;1.49403e-07;
+20;30.0004;55366152;9.68175e-08;
+30;30.0001;76848500;5.06642e-08;
+40;30.0144;30237660;4.80153e-08;
+50;30.0015;30165440;3.65941e-08;
+100;30.0042;73705460;1.33066e-08;
+500;30.0002;57122680;6.99929e-10;

mean_500_std_200_meantime_10ms_stddevtime_5ms.csv

@@ -0,0 +1,9 @@
+timeout_ms;tot_time_taken;tot_bytes;drop_rate;
+1;30.002;285440932;3.60566e-06;
+10;30.0045;292509020;8.85339e-08;
+20;30.0054;292548652;6.98952e-10;
+30;30.0068;292681920;4.65968e-10;
+40;30.0007;292683240;0;
+50;30.0057;292298380;0;
+100;30.0011;292683240;0;
+500;30.0085;292683240;0;

provider.cxx

@@ -8,6 +8,7 @@
 #include <iostream>
 #include <iomanip>
 #include <netinet/in.h>
+#include <netinet/tcp.h>
 #include <random>
 #include <sys/socket.h>
 #include <sys/types.h>
@@ -18,8 +19,13 @@
 #include "fragment_dataformat.h"
 
 #define MIN_FRAGMENTS 0
-#define MAX_FRAGMENTS 100
+#define MAX_FRAGMENTS 1024
 
+#define MEAN_FRAG 1
+#define STDDEV_FRAG 0
+
+#define MEAN_TIME_MS 0
+#define STDDEV_TIME_MS 0
 
 /*
 int rndError(float p){
@@ -66,9 +72,9 @@ int main(int argc, char* argv[]) {
     std::random_device rd;
     std::mt19937 generator(42);
     std::discrete_distribution<uint8_t> discrete_distr({0.9, 0.1});
-    std::normal_distribution<float> normal_distr(25., 10.);
+    std::normal_distribution<float> normal_distr(MEAN_FRAG, STDDEV_FRAG);
     std::uniform_int_distribution<uint32_t> unif_int_distib;
-    std::uniform_real_distribution<float> unif_float_distrib(1, 2);
+    std::normal_distribution<float> normal_distrib_time(MEAN_TIME_MS, STDDEV_TIME_MS);
 
     //commenting all old_style generation
     //srand (static_cast <unsigned> (42));
@@ -90,6 +96,13 @@ int main(int argc, char* argv[]) {
     run_number = atoi(argv[4]);
 
     int socket = makeSocket();
+    const int opt = 1;
+    if( setsockopt(socket, IPPROTO_TCP, TCP_NODELAY, (char *)&opt, 
+          sizeof(opt)) < 0 )  
+    {  
+        perror("setsockopt");  
+        exit(EXIT_FAILURE);  
+    }
     connectTo(socket, host, port);
 
     while (true) {
@@ -150,7 +163,9 @@ int main(int argc, char* argv[]) {
         //std::cout << std::endl;
 
 
-        usleep(static_cast<int>(unif_float_distrib(generator) * 1e6));
+        //usleep(std::max(static_cast<int>(normal_distrib_time(generator) * 1e3), 0));
+        //usleep(10);
+
     }
 
     return 0;

queue_occup_1kmean_20ms_timeout50ms_1000clients.csv

@@ -0,0 +1,695 @@
+times;means;
+5.94664;2764.22;
+5.99256;4350.62;
+6.01936;4532.11;
+6.05357;4495.74;
+6.0838;4645.04;
+6.11404;4843.81;
+6.14368;5078.27;
+6.17846;5290.04;
+6.21851;5550.87;
+6.25483;6299.81;
+6.2891;6629.51;
+6.29096;6758.66;
+6.31143;6709.42;
+6.35013;6874.94;
+6.38715;7122.55;
+6.41604;7267.55;
+6.44828;7329.57;
+6.47406;7606.71;
+6.48831;7748.89;
+6.5601;7783.62;
+6.64595;7745.67;
+6.70141;8088.61;
+6.75381;8747.23;
+6.76661;9013.87;
+6.79962;8905.28;
+6.82554;8972.22;
+6.8589;9062.69;
+6.87646;9201.15;
+6.89458;9187.31;
+6.93713;9133.35;
+6.9565;9546.35;
+6.97927;9622.05;
+7.00038;9664.72;
+7.03566;9593.19;
+7.03874;9787.6;
+7.06686;9655.66;
+7.10865;9580.06;
+7.14939;9647.41;
+7.18879;9855.34;
+7.23341;9756.2;
+7.24568;9907.23;
+7.26724;9828.31;
+7.28077;9905.25;
+7.31259;9906.48;
+7.34186;10081.7;
+7.39208;9976.54;
+7.42067;10104.9;
+7.47763;9902.46;
+7.52285;10053.1;
+7.54887;10126.4;
+7.55694;10214.6;
+7.59839;10088.9;
+7.63761;10188.4;
+7.67139;10257.7;
+7.6926;10350.2;
+7.72623;10458.7;
+7.73899;10754;
+7.7606;10812.6;
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+7.81431;10782.6;
+7.83129;10813.8;
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+8.02907;10843.1;
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+24.0795;79071;
+24.1405;79523.6;
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+24.2533;79802.8;
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+24.3491;80110.8;
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+24.5201;80700.8;
+24.5422;80815.8;
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+29.9871;114845;
+30.0164;114892;

simulation.sh

@@ -0,0 +1,17 @@
+#!/bin/bash
+
+list=(1 10 20 30 40 50 100 500)
+
+echo starting
+for t in ${list[@]}; do
+    ./evBuild.out 7777 5 200 $t &
+    pid=$!
+    sleep 2
+    ./spawn_clients.sh "127.0.0.1" 7777 5 200
+    echo $pid
+    wait $pid
+    kill $pid
+    sleep 1
+
+    echo "new iteration"
+done

testing/connection_method/readme.txt

@@ -4,7 +4,7 @@ I'll spawn 50 clients and let them connect and send data as fast as they can whi
 I'm ignoring all bottlenecks for now. All tests of this section are brought out on my local machine.
 
 EDIT: by default all clients allocate a massive 100 megabytes of space to send big chunks of data.
-To test with a bigger number of descriptors (I'm making 100, 500, 1000, 5000, 10000) i'm lowering the chunk size as well as changing
+To test with a bigger number of descriptors (I'm making 100, 500, 1000) i'm lowering the chunk size as well as changing
 the generation method of the data to send.
 So trashing first result with 50 and re executing with all the different clien numbers.
 

testing/results/BrokenAxis.C

@@ -0,0 +1,54 @@
+void BrokenAxis()
+{
+   TCanvas *c = new TCanvas("c", "c",700,900);
+
+   TPad *p1 = new TPad("p1","p1",0.1,0.5,0.9,0.901);
+   p1->SetBottomMargin(0.);
+   p1->SetFillColor(0);
+   p1->SetBorderMode(0);
+   p1->SetLogy();
+   p1->Draw();
+
+   TPad *p2 = new TPad("p2","p2",0.1,0.1,0.9,0.501);
+   p2->SetTopMargin(0.);
+   p2->SetFillColor(0);
+   p2->SetBorderMode(0);
+   p2->Draw();
+
+   float x1[] = {3,5,6,9}; float y1[] = {100,900,400,200};
+   TGraph *gr1 = new TGraph(4,x1,y1);
+   gr1->GetXaxis()->SetLimits(0.,10.);
+   gr1->SetTitle("");
+   gr1->GetXaxis()->SetLabelSize(0);
+   gr1->GetXaxis()->SetTickLength(0);
+   gr1->SetMarkerStyle(20);
+
+   float x2[] = {1,2,3,8}; float y2[] = {4,7,6,5};
+   TGraph *gr2 = new TGraph(4,x2,y2);
+   gr2->GetXaxis()->SetLimits(0.,10.);
+   gr2->SetTitle("");
+   gr2->SetMarkerStyle(22);
+
+   p1->cd();
+   gr1->Draw("ALP");
+   gr1->GetHistogram()->SetMinimum(-20.);
+
+   p2->cd();
+   gr2->Draw("ALP");
+   gr2->GetHistogram()->SetMaximum(7.5);
+
+   c->cd();
+   TPad *b = new TPad("b","b",0.1,0.46,0.8199,0.53);
+   b->SetBorderMode(0);
+   b->SetFillColor(0);
+   b->Draw();
+   b->cd();
+   TLine *line = new TLine(0.11,0,0.1105677,0.399656);
+   line->Draw();
+   line = new TLine(0.1105677,0.5860092,0.11,1);
+   line->Draw();
+   line = new TLine(0.076639,0.5143349,0.1524797,0.6863532);
+   line->Draw();
+   line = new TLine(0.076639,0.3423165,0.1524797,0.5143349);
+   line->Draw();
+}

testing/results/ConnMethodComparison.C

@@ -0,0 +1,62 @@
+void ConnMethodComparison() {
+    gROOT->SetBatch(kTRUE);
+    auto sel_filename = "./select_data_stats_1000desc_NOBLOCK_TIMEOUT_HARD.csv";
+    auto sel_df = ROOT::RDF::MakeCsvDataFrame(sel_filename, true, ';');
+    auto sel_nc = sel_df.Define("bandwidth", "( total_received_data/static_cast<double>(1024) ) / (time/1000)").Define("bf_kb", "buffer_size/static_cast<double>(1024)");
+
+    auto epoll_filename = "./epoll_data_stats_1000_TIMEOUT_HARD.csv";
+    auto epoll_df = ROOT::RDF::MakeCsvDataFrame(epoll_filename, true, ';');
+    auto epoll_nc = epoll_df.Define("bandwidth", "( total_received_data/static_cast<double>(1024) ) / (time/1000)").Define("bf_kb", "buffer_size/static_cast<double>(1024)");
+
+    auto canvas = new TCanvas("c", "c", 1400, 1000);
+    //canvas->SetLogx();
+    canvas->SetGrid();
+    //canvas->SetLogy();
+
+    auto sel_g = sel_nc.Graph("bf_kb", "bandwidth");
+    sel_g->SetTitle("Select vs Epoll: 1000 clients (99.8% long timeouts);Buffer Size [kB];Bandwidth [kB/s]");
+    sel_g->SetName("sel");
+    sel_g->SetMarkerStyle(55);
+    sel_g->SetMarkerSize(2);
+    sel_g->SetMarkerColor(kBlue);
+    sel_g->SetLineColor(kBlue);
+    sel_g->SetLineWidth(2);
+
+
+    //sel_g->GetXaxis()->SetLimits(-50,1000);
+    sel_g->GetHistogram()->SetMinimum(0);
+    sel_g->GetHistogram()->SetMaximum(7000);
+
+    sel_g->DrawClone("ALP");
+
+    auto epoll_g = epoll_nc.Graph("bf_kb", "bandwidth");
+    epoll_g->SetTitle("Select vs Epoll: 1000 clients (99.8% long timeouts);Buffer Size [kB];Bandwidth [kB/s]");
+    epoll_g->SetName("epoll");
+    epoll_g->SetMarkerStyle(55);
+    epoll_g->SetMarkerSize(2);
+    epoll_g->SetMarkerColor(kRed);
+    epoll_g->SetLineColor(kRed);
+    epoll_g->SetLineWidth(2);
+
+
+    //epoll_g->GetXaxis()->SetLimits(-50,1000);
+    //epoll_g->GetHistogram()->SetMinimum(1e3);
+    //epoll_g->GetHistogram()->SetMaximum(1e7);
+
+    epoll_g->DrawClone("LP");
+
+    //gStyle->SetLegendTextSize(0.01);
+
+    auto leg = new TLegend(0.60,0.42,0.86,0.57);
+    leg->SetHeader("Connection method", "c");
+    leg->AddEntry("sel","Select","lp");
+    leg->AddEntry("epoll","Epoll","lp");
+    leg->Draw();
+
+    //canvas->BuildLegend(0.65,0.2,0.86,0.32, "Connection Method");
+
+    canvas->Print("Epoll_Select_1000_TIMEOUT_HARD.png");
+
+    gROOT->SetBatch(kFALSE);
+    gApplication->Terminate(0);
+}

testing/results/MultiThComp.C

@@ -0,0 +1,62 @@
+void MultiThComp() {
+    gROOT->SetBatch(kTRUE);
+    auto epoll_filename = "./epoll_data_stats_1000_TIMEOUT_HARD.csv";
+    auto epoll_df = ROOT::RDF::MakeCsvDataFrame(epoll_filename, true, ';');
+    auto epoll_nc = epoll_df.Define("bandwidth", "( total_received_data/static_cast<double>(1024) ) / (time/1000)").Define("bf_kb", "buffer_size/static_cast<double>(1024)");
+
+    auto epoll_multi_filename = "./epoll_data_stats_1000_multith_TIMEOUT_HARD.csv";
+    auto epoll_multi_df = ROOT::RDF::MakeCsvDataFrame(epoll_multi_filename, true, ';');
+    auto epoll_multi_nc = epoll_multi_df.Define("bandwidth", "( total_received_data/static_cast<double>(1024) ) / (time/1000)").Define("bf_kb", "buffer_size/static_cast<double>(1024)");
+
+    auto canvas = new TCanvas("c", "c", 1400, 1000);
+    //canvas->SetLogx();
+    canvas->SetGrid();
+    //canvas->SetLogy();
+
+    auto epoll_g = epoll_nc.Graph("bf_kb", "bandwidth");
+    epoll_g->SetTitle("Epoll vs Epoll Multithread (99.8% long timeouts): 1000 clients;Buffer Size [kB];Bandwidth [kB/s]");
+    epoll_g->SetName("epoll");
+    epoll_g->SetMarkerStyle(55);
+    epoll_g->SetMarkerSize(2);
+    epoll_g->SetMarkerColor(kBlue);
+    epoll_g->SetLineColor(kBlue);
+    epoll_g->SetLineWidth(2);
+
+
+    //epoll_g->GetXaxis()->SetLimits(-50,1000);
+    epoll_g->GetHistogram()->SetMinimum(0);
+    epoll_g->GetHistogram()->SetMaximum(7000);
+
+    epoll_g->DrawClone("ALP");
+
+    auto epoll_multi_g = epoll_multi_nc.Graph("bf_kb", "bandwidth");
+    epoll_multi_g->SetTitle("Epoll vs Epoll Multithread (99.8% long timeouts): 1000 clients;Buffer Size [kB];Bandwidth [kB/s]");
+    epoll_multi_g->SetName("epoll_multi");
+    epoll_multi_g->SetMarkerStyle(55);
+    epoll_multi_g->SetMarkerSize(2);
+    epoll_multi_g->SetMarkerColor(8);
+    epoll_multi_g->SetLineColor(8);
+    epoll_multi_g->SetLineWidth(2);
+
+
+    //epoll_multi_g->GetXaxis()->SetLimits(-50,1000);
+    //epoll_multi_g->GetHistogram()->SetMinimum(1e3);
+    //epoll_multi_g->GetHistogram()->SetMaximum(1e7);
+
+    epoll_multi_g->DrawClone("LP");
+
+    //gStyle->SetLegendTextSize(0.01);
+
+    auto leg = new TLegend(0.60,0.17,0.86,0.32);
+    leg->SetHeader("Connection method", "c");
+    leg->AddEntry("epoll","Epoll Single Thread","lp");
+    leg->AddEntry("epoll_multi","Epoll 6 Threads","lp");
+    leg->Draw();
+
+    //canvas->BuildLegend(0.65,0.2,0.86,0.32, "Connection Method");
+
+    canvas->Print("Epoll_Multi_1000_TIMEOUT_HARD.png");
+
+    gROOT->SetBatch(kFALSE);
+    gApplication->Terminate(0);
+}

testing/results/SendBuf.C

@@ -0,0 +1,34 @@
+void SendBuf() {
+    gROOT->SetBatch(kTRUE);
+    auto filename = "./send_data_buffer.csv";
+    auto df = ROOT::RDF::MakeCsvDataFrame(filename, true, ';');
+    auto newcol = df.Define("bandwidth", "100*1024/time").Define("bf_kb", "buffer_size/static_cast<double>(1024)");
+
+    auto canvas = new TCanvas("c", "c", 1400, 1000);
+    //canvas->SetLogx();
+    canvas->SetGrid();
+    canvas->SetLogy();
+
+    auto g = newcol.Graph("bf_kb", "bandwidth");
+    
+
+    g->SetTitle("Bandwidth vs Sender Buffer Size;Buffer Size [kB];Bandwidth [kB/s]");
+
+    // Make the plot esthetically better
+    //It's kMultiply a lil bigger
+    g->SetMarkerStyle(52);
+    g->SetMarkerSize(1.5);
+    g->SetMarkerColor(kBlack);
+    g->SetLineColor(kBlue);
+
+    g->GetXaxis()->SetLimits(-50,1000);
+    g->GetHistogram()->SetMinimum(1e3);
+    g->GetHistogram()->SetMaximum(1e7);
+
+    g->DrawClone("ALP");
+
+    canvas->Print("SendBufferSize.png");
+
+    gROOT->SetBatch(kFALSE);
+    gApplication->Terminate(0);
+}

testing/results/SenderBufSize.C

@@ -0,0 +1,81 @@
+void SenderBufSize() {
+    auto filename = "./send_data_buffer.csv";
+    auto df = ROOT::RDF::MakeCsvDataFrame(filename, true, ';');
+    auto newcol = df.Define("bandwidth", "100*1024/time").Define("bf_kb", "buffer_size/static_cast<double>(1024)");
+
+    //TPad (const char *name, const char *title, Double_t xlow, Double_t ylow, Double_t xup, Double_t yup, Color_t color=-1, Short_t bordersize=-1, Short_t bordermode=-2)
+
+
+    auto canvas = new TCanvas();
+    //canvas->SetLogx();
+    //canvas->SetLogy();
+
+    auto graph1 = newcol.Graph("bf_kb", "bandwidth");
+    auto graph2 = newcol.Graph("bf_kb", "bandwidth");
+
+    //graph1->SetTitle("Bandwidth vs Sender Buffer Size;Buffer Size [kB];Bandwidth [kB/s]");
+    graph2->SetTitle("Bandwidth vs Sender Buffer Size;Buffer Size [kB];Bandwidth [kB/s]");
+    graph1->SetTitle("");
+    //graph2->SetTitle("");
+
+    graph1->GetXaxis()->SetLimits(0,0.7);
+    graph2->GetXaxis()->SetLimits(0.7,1e3);
+    graph1->GetYaxis()->SetLimits(0,1e6);
+    graph2->GetYaxis()->SetLimits(0,1e6);
+
+
+
+    //auto printable = newcol.Display();
+    //printable->Print();
+
+    // Make the plot esthetically better
+    //It's kMultiply a lil bigger
+    //graph1->GetYaxis()->SetLabelSize(0);
+    //graph1->GetYaxis()->SetTickLength(0);
+    graph1->GetXaxis()->SetNdivisions(0);
+    graph1->SetMarkerStyle(52);
+    graph1->SetMarkerSize(1.5);
+    graph1->SetMarkerColor(kBlack);
+    graph1->SetLineColor(kBlue);
+
+    //graph2->GetYaxis()->SetLabelSize(0);
+    //graph2->GetYaxis()->SetTickLength(0);
+    graph2->SetMarkerStyle(52);
+    graph2->SetMarkerSize(1.5);
+    graph2->SetMarkerColor(kBlack);
+    graph2->SetLineColor(kBlue);
+
+
+    
+
+    auto pad1 = new TPad("p1","p1",0.05,0.05,0.2,0.95);
+    pad1->SetRightMargin(0.);
+    pad1->SetFillColor(0);
+    pad1->SetBorderMode(0);
+    pad1->SetLogy();
+    pad1->Draw();
+
+
+    auto pad2 = new TPad("p2","p2",0.205,0.05,0.95,0.95);
+    pad2->SetLeftMargin(0.);
+    pad2->SetFillColor(0);
+    pad2->SetBorderMode(0);
+    pad2->SetLogx();
+    pad2->SetLogy();
+    pad2->Draw();
+
+    pad1->cd();
+    graph1->DrawClone("ALP");
+
+    pad2->cd();
+    graph2->DrawClone("ALP");
+
+    canvas->Modified();
+    canvas->Update();
+
+
+
+
+    //graph->DrawClone("ALP");
+    //gApplication->Terminate(0);
+}

testing/results/Try.C

@@ -0,0 +1,40 @@
+void Try() {
+    // Define your data
+    std::vector<double> times = {1, 1.2, 1.5, 1.7, 2.1, 2.2, 2.9};
+    std::vector<double> values = {5, 6, 7, 8, 9, 10, 11};
+
+    // Define your bin edges
+    std::vector<double> binEdges = {1, 2, 3}; // Define your desired bin edges here
+
+    // Create a histogram with custom binning
+    TH1F *hist = new TH1F("custom_hist", "Custom Histogram", binEdges.size() - 1, &binEdges[0]);
+
+    // Initialize vectors to store bin contents and counts
+    std::vector<double> binContents(binEdges.size() - 1, 0.0);
+    std::vector<int> binCounts(binEdges.size() - 1, 0);
+
+    // Loop through data and fill the histogram
+    for (size_t i = 0; i < times.size(); ++i) {
+        double val = values[i];
+        for (size_t j = 0; j < binEdges.size() - 1; ++j) {
+            if (times[i] >= binEdges[j] && times[i] < binEdges[j + 1]) {
+                binContents[j] += val;
+                binCounts[j]++;
+                break;
+            }
+        }
+    }
+
+    // Calculate the means for each bin and set the bin content
+    for (size_t i = 0; i < binEdges.size() - 1; ++i) {
+        double binMean = (binCounts[i] > 0) ? binContents[i] / binCounts[i] : 0;
+        hist->SetBinContent(i + 1, binMean); // Set the bin content to the mean
+    }
+
+    // Create a canvas and draw the histogram
+    TCanvas *canvas = new TCanvas("canvas", "Custom Histogram", 800, 600);
+    hist->Draw();
+    canvas->SaveAs("custom_histogram.png");
+
+    delete canvas;
+}

testing/results/epoll_data_stats_100.csv

@@ -16,4 +16,4 @@ buffer_size;time;total_received_data;
 300000;30002.7;127939453;
 400000;30010.1;121523437;
 500000;30004.6;125390625;
-1000000;30036.4;126757812;
+

testing/results/epoll_data_stats_1000.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30010;108385843;
 400000;30002.3;110109484;
 500000;30041.3;106363740;
-1000000;30000;103425306;

testing/results/epoll_data_stats_1000_TIMEOUT.csv

@@ -16,4 +16,4 @@ buffer_size;time;total_received_data;
 300000;30006.9;113726256;
 400000;30003.6;113588963;
 500000;30004.1;124238792;
-1000000;30005.3;127730003;
+

testing/results/epoll_data_stats_1000_TIMEOUT_HARD.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30000.1;180569049;
 400000;30000;186854294;
 500000;30000;191359610;
-1000000;30000;187503120;

testing/results/epoll_data_stats_1000_multith.csv

@@ -16,4 +16,4 @@ buffer_size;time;total_received_data;
 300000;30121;180069213;
 400000;30016.7;156804334;
 500000;30000.6;230636978;
-1000000;30135;159812471;
+

testing/results/epoll_data_stats_1000_multith_TIMEOUT.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30061.5;142890809;
 400000;30083.1;138006324;
 500000;30074.4;133424935;
-1000000;30000.5;114451148;

testing/results/epoll_data_stats_1000_multith_TIMEOUT_HARD.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30022.2;145632228;
 400000;30096.8;146447339;
 500000;30143.2;134063359;
-1000000;30000.4;123787063;

testing/results/epoll_data_stats_500.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30011.9;110168294;
 400000;30017;103690777;
 500000;30023.6;106875799;
-1000000;30065.7;111296658;

testing/results/select_data_stats_1000desc_NOBLOCK.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30014.1;91602483;
 400000;30004.2;113396854;
 500000;30008.1;112980666;
-1000000;30015.8;105931378;

testing/results/select_data_stats_1000desc_NOBLOCK_TIMEOUT.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30001.6;111016135;
 400000;30002.2;109526878;
 500000;30005.3;129750689;
-1000000;30005;101069846;

testing/results/select_data_stats_1000desc_NOBLOCK_TIMEOUT_HARD.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30000;47852732;
 400000;30000.4;51052155;
 500000;30000.6;50078987;
-1000000;30000.3;70992968;

testing/results/select_data_stats_100desc_NOBLOCK.csv

@@ -16,4 +16,4 @@ buffer_size;time;total_received_data;
 300000;30003;122314453;
 400000;30008.9;118750000;
 500000;30009.5;118750000;
-1000000;30020.8;117871093;
+

testing/results/select_data_stats_500desc_NOBLOCK.csv

@@ -16,4 +16,3 @@ buffer_size;time;total_received_data;
 300000;30013.8;111613113;
 400000;30005.9;105724495;
 500000;30008.1;106815424;
-1000000;30037.6;108984396;