Merge branch 'master' into 'main'

first commit

See merge request !1

.vscode/settings.json

+{
+    "files.associations": {
+        "chrono": "cpp",
+        "cctype": "cpp",
+        "clocale": "cpp",
+        "cmath": "cpp",
+        "csignal": "cpp",
+        "cstdarg": "cpp",
+        "cstddef": "cpp",
+        "cstdio": "cpp",
+        "cstdlib": "cpp",
+        "cstring": "cpp",
+        "ctime": "cpp",
+        "cwchar": "cpp",
+        "cwctype": "cpp",
+        "any": "cpp",
+        "array": "cpp",
+        "atomic": "cpp",
+        "bit": "cpp",
+        "*.tcc": "cpp",
+        "bitset": "cpp",
+        "codecvt": "cpp",
+        "compare": "cpp",
+        "complex": "cpp",
+        "concepts": "cpp",
+        "condition_variable": "cpp",
+        "coroutine": "cpp",
+        "cstdint": "cpp",
+        "deque": "cpp",
+        "list": "cpp",
+        "map": "cpp",
+        "set": "cpp",
+        "string": "cpp",
+        "unordered_map": "cpp",
+        "vector": "cpp",
+        "exception": "cpp",
+        "algorithm": "cpp",
+        "functional": "cpp",
+        "iterator": "cpp",
+        "memory": "cpp",
+        "memory_resource": "cpp",
+        "numeric": "cpp",
+        "optional": "cpp",
+        "random": "cpp",
+        "ratio": "cpp",
+        "source_location": "cpp",
+        "string_view": "cpp",
+        "system_error": "cpp",
+        "tuple": "cpp",
+        "type_traits": "cpp",
+        "utility": "cpp",
+        "fstream": "cpp",
+        "future": "cpp",
+        "initializer_list": "cpp",
+        "iomanip": "cpp",
+        "iosfwd": "cpp",
+        "iostream": "cpp",
+        "istream": "cpp",
+        "limits": "cpp",
+        "mutex": "cpp",
+        "new": "cpp",
+        "numbers": "cpp",
+        "ostream": "cpp",
+        "semaphore": "cpp",
+        "sstream": "cpp",
+        "stdexcept": "cpp",
+        "stop_token": "cpp",
+        "streambuf": "cpp",
+        "thread": "cpp",
+        "cinttypes": "cpp",
+        "typeindex": "cpp",
+        "typeinfo": "cpp",
+        "variant": "cpp",
+        "csetjmp": "cpp",
+        "barrier": "cpp",
+        "cfenv": "cpp",
+        "charconv": "cpp",
+        "cuchar": "cpp",
+        "forward_list": "cpp",
+        "unordered_set": "cpp",
+        "regex": "cpp",
+        "latch": "cpp",
+        "ranges": "cpp",
+        "scoped_allocator": "cpp",
+        "shared_mutex": "cpp",
+        "span": "cpp",
+        "syncstream": "cpp",
+        "valarray": "cpp"
+    }
+}
\ No newline at end of file

client.cpp

+#include <iostream>
+#include <boost/asio.hpp>
+#include <chrono>
+#include <fstream>
+#include <vector>
+#include <thread>
+#include <random>
+
+using boost::asio::ip::tcp;
+
+
+void client(const std::string& host, const std::string& port, int client_id, std::vector<double>& durations, std::exponential_distribution<>& dist, std::default_random_engine& generator) {
+    try {
+        boost::asio::io_context io_context;
+        tcp::resolver resolver(io_context);
+        tcp::resolver::results_type endpoints = resolver.resolve(host, port);
+
+        tcp::socket socket(io_context);
+
+
+
+        auto start = std::chrono::high_resolution_clock::now();
+
+        boost::asio::connect(socket, endpoints);
+
+        char response[512];
+        boost::system::error_code error;
+        size_t length = socket.read_some(boost::asio::buffer(response), error);
+
+        auto end = std::chrono::high_resolution_clock::now();
+        std::chrono::duration<double> duration = end - start;
+
+        if (error == boost::asio::error::eof)
+            return;
+        else if (error)
+            throw boost::system::system_error(error);
+
+        
+
+        durations[client_id] = duration.count();
+
+        std::cout << "Client " << client_id << " Server response: " << std::string(response, length) << std::endl;
+        std::ofstream file("./logs/log_4server_50ms_bearbeitungszeit.txt", std::ios_base::app) ; 
+        std::cout<<"duration " << duration.count() <<std::endl ;
+        file<< duration.count() <<std::endl ; 
+
+
+    } catch (std::exception& e) {
+        std::cerr << "Exception: " << e.what() << "\n";
+    }
+}
+
+int main() {
+    const int num_clients = 1000; 
+    std::vector<std::thread> clients;
+    std::vector<double> durations(num_clients);
+
+    std::random_device rd;
+    std::default_random_engine generator(rd());
+    std::exponential_distribution<> dist(1.0 / 3.0);
+
+    auto total_start = std::chrono::high_resolution_clock::now();
+
+    for (int i = 0; i < num_clients; ++i) {
+        double wait_time = dist(generator);
+        std::this_thread::sleep_for(std::chrono::milliseconds((int)wait_time));
+        clients.emplace_back(client, "app", "12345", i, std::ref(durations), std::ref(dist), std::ref(generator));
+    }
+
+    for (auto& t : clients) {
+        t.join();
+    }
+
+    auto total_end = std::chrono::high_resolution_clock::now();
+    std::chrono::duration<double, std::milli> total_duration = total_end - total_start;
+
+    std::cout << "Total time to handle 1000 clients: " << total_duration.count() << " ms" << std::endl;
+
+    std::ofstream log_file("client_log.txt", std::ios_base::app);
+    if (log_file.is_open()) {
+        log_file << "Total time to handle 1000 clients: " << total_duration.count() << " ms" << std::endl;
+        log_file.close();
+    } else {
+        std::cerr << "Unable to open log file." << std::endl;
+    }
+
+    return 0;
+}

client_log.txt

+Total time to handle 1000 clients(4 server): 5583.22 ms
+Total time to handle 1000 clients(ome server): 13142.7 ms

consumer-producer.cpp

+#include <iostream>
+#include <thread>
+#include <mutex>
+#include <condition_variable>
+#include <queue>
+#include <vector>
+#include <chrono>
+#include <random>
+
+const int BUFFER_SIZE = 10;
+std::queue<int> buffer;
+std::mutex mtx;
+std::condition_variable cv_producer;
+std::condition_variable cv_consumer;
+
+void producer(int id) {
+    int produced_item = 0;
+    while (true) {
+
+        std::cout << "es gibt so viel item im Buffer : "<<buffer.size()<< std::endl ; 
+        std::random_device rd;
+        std::mt19937 gen(rd());
+        double lambda = 1.0 / 3.0;
+        std::exponential_distribution<> dist(lambda);
+        double wait_time_ms = dist(gen);
+
+        std::this_thread::sleep_for(std::chrono::milliseconds((int)wait_time_ms));
+        std::unique_lock<std::mutex> lock(mtx);
+        cv_producer.wait(lock, [] { return buffer.size() < BUFFER_SIZE; });
+
+        produced_item++;
+        buffer.push(produced_item);
+        std::cout << "Producer " << id << " produced item " << produced_item << "\n";
+
+        cv_consumer.notify_all();
+        lock.unlock();
+    }
+}
+
+void consumer(int id) {
+    while (true) {
+        std::random_device rd;
+        std::mt19937 gen(rd());
+        double lambda = 1.0 / 70.0;
+        std::exponential_distribution<> dist(lambda);
+        double wait_time_ms = dist(gen);
+        
+        std::this_thread::sleep_for(std::chrono::milliseconds((int)wait_time_ms));
+        std::unique_lock<std::mutex> lock(mtx);
+        cv_consumer.wait(lock, [] { return !buffer.empty(); });
+
+        // Consume an item from the buffer
+        int consumed_item = buffer.front();
+        buffer.pop();
+        std::cout << "Consumer " << id << " consumed item " << consumed_item << "\n";
+
+        cv_producer.notify_all(); 
+        lock.unlock();
+    }
+}
+
+int main() {
+    std::vector<std::thread> producers, consumers;
+
+    for (int i = 0; i < 1; ++i) {
+        producers.emplace_back(producer, i+1);
+    }
+
+    for (int i = 0; i < 3; ++i) {
+        consumers.emplace_back(consumer, i+1);
+    }
+
+    for (auto& p : producers) {
+        p.join();
+    }
+    for (auto& c : consumers) {
+        c.join();
+    }
+
+    return 0;
+}

docker-compose.yaml

+version: '3.8'
+
+services:
+  app: 
+    build: 
+      context: .
+      dockerfile: dockerfile
+    tty: true 
+    stdin_open: true
+    deploy:
+      mode: replicated
+      replicas: 4
+
+  client: 
+    build: 
+      context: .
+      dockerfile: dockerfile.client
+    tty: true 
+    stdin_open: true
+    volumes:
+      - ./logs:/app/logs  
+      - .:/app/
+    depends_on:
+      - app
\ No newline at end of file

dockerfile

+FROM ubuntu:latest 
+
+RUN apt-get update 
+
+RUN apt-get -y install libboost-all-dev
+
+RUN apt install siege 
+
+RUN apt install -y g++
+
+COPY ./server.cpp .
+
+RUN g++ server.cpp -o server
+
+CMD [ "./server" ]
\ No newline at end of file

dockerfile.client

+FROM ubuntu:latest 
+
+RUN apt-get update 
+
+RUN apt-get -y install libboost-all-dev
+
+RUN apt install siege 
+
+RUN apt install -y g++
+
+WORKDIR /app
+
+COPY ./client.cpp /app
+
+
+CMD  g++ client.cpp -o client && chmod +x client && ./client
\ No newline at end of file

logs/log_1server_30ms_bearbeitungszeit.txt

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paper.markdown

+# Vergleich der Leistungsfähigkeit eines Einzelservers gegenüber vier Servern in einer Simulationsumgebung
+
+## Abstract
+
+In diesem Paper wird die Leistungsfähigkeit eines einzelnen Servers mit einer durchschnittlichen Bearbeitungszeit von 30 ms im Vergleich zu vier Servern mit jeweils einer durchschnittlichen Bearbeitungszeit von 50 ms untersucht. Die Hypothese lautet, dass vier Server mit längerer Bearbeitungszeit (50 ms) besser abschneiden als ein Server mit kürzerer Bearbeitungszeit (30 ms). Durch die Simulation wird analysiert, wie sich die Verteilung der Anfragen und die Gesamteffizienz des Systems unterscheiden. Die Ergebnisse liefern wertvolle Erkenntnisse für die Optimierung von Serverarchitekturen in verschiedenen Anwendungsszenarien.
+
+## Einleitung
+
+### Motivation und Hintergrund
+
+Die Leistungsfähigkeit von Serverarchitekturen ist ein zentrales Thema in der Informatik und Betriebswirtschaft. Unternehmen stehen oft vor der Entscheidung, ob sie in einen leistungsstarken Einzelserver oder in mehrere weniger leistungsfähige Server investieren sollen. Diese Entscheidung hat nicht nur Auswirkungen auf die Systemleistung, sondern auch auf die Betriebskosten und die Skalierbarkeit.
+
+### Problemstellung
+
+Dieses Paper untersucht die Frage, ob vier Server mit einer durchschnittlichen Bearbeitungszeit von 50 ms besser abschneiden als ein einzelner Server mit einer Bearbeitungszeit von 30 ms. Dabei wird die Hypothese getestet, dass mehrere weniger leistungsfähige Server insgesamt effizienter arbeiten als ein leistungsstarker Einzelserver.
+
+### Ziel des Papers
+
+Das Ziel dieses Papers ist es, die Leistungsfähigkeit beider Serverkonfigurationen anhand von Simulationen zu vergleichen und die Ergebnisse zu interpretieren, um Unternehmen eine fundierte Entscheidungsgrundlage zu bieten.
+
+## Methodik
+
+### Simulationsumgebung
+
+Die Simulation wurde in einer kontrollierten Umgebung durchgeführt, wobei die Anfragen gleichmäßig auf die Server verteilt wurden. Die Wartezeiten wurden aufgezeichnet und analysiert.
+
+### Serverkonfigurationen
+
+- **Einzelserver:** Durchschnittliche Bearbeitungszeit: 30 ms
+- **Vier Server:** Durchschnittliche Bearbeitungszeit: 50 ms
+
+### Annahmen und Vereinfachungen
+
+Es wurde angenommen, dass alle Anfragen unabhängig voneinander sind und die Ankunftsrate der Anfragen konstant bleibt. Komplexere Faktoren wie Netzwerküberlastung und Serverausfälle wurden in dieser Simulation nicht berücksichtigt.
+
+### Durchführung der Simulation
+
+Die Simulation wurde für beide Konfigurationen durchgeführt, und die Wartezeiten wurden in einem Histogramm dargestellt.
+
+## Ergebnisse
+
+### Einzelserver (30 ms)
+
+![Einzelserver](./plot/plot.png)
+
+- **Mean waiting time:** 13.64434 seconds
+- **Median waiting time:** 13.36815 seconds
+- **Standard deviation of waiting time:** 7.95362 seconds
+
+### Vier Server (4 x 50 ms)
+
+![Vier Server](./plot/plot1.png)
+
+- **Mean waiting time:** 4.34770 seconds
+- **Median waiting time:** 4.10945 seconds
+- **Standard deviation of waiting time:** 2.72114 seconds
+
+## Diskussion
+
+### Interpretation der Ergebnisse
+
+Die Simulationsergebnisse zeigen, dass die Wartezeiten bei der Konfiguration mit vier Servern deutlich geringer sind als bei einem Einzelserver. Dies unterstützt die Hypothese, dass mehrere Server mit längerer Bearbeitungszeit effizienter arbeiten können als ein leistungsstarker Einzelserver.
+
+### Vorteile des Mehrserver-Setups
+
+- **Reduzierte Wartezeiten:** Die meisten Anfragen werden schneller bearbeitet.
+- **Bessere Skalierbarkeit:** Mehrere Server können mehr Anfragen parallel verarbeiten.
+- **Fehlertoleranz:** Ein Serverausfall hat weniger Auswirkungen auf das Gesamtsystem.
+
+### Nachteile des Einzelserver-Setups
+
+- **Längere Wartezeiten:** Gleichmäßige Verteilung der Wartezeiten zeigt potenzielle Engpässe.
+- **Keine Parallelität:** Ein einzelner Server kann nur eine begrenzte Anzahl von Anfragen gleichzeitig bearbeiten.
+
+### Auswirkungen auf die Praxis
+
+Ein Mehrserver-Setup ist besonders vorteilhaft in Szenarien mit hohen Anfragevolumina und der Notwendigkeit schneller Bearbeitungszeiten. Ein Einzelserver-Setup könnte ausreichend sein für Systeme mit niedrigem Anfragevolumen oder in Szenarien, in denen die Einfachheit und Kosteneffizienz wichtiger sind als die absolute Leistungsfähigkeit.
+
+## Fazit und Ausblick
+
+Die Simulationsergebnisse zeigen deutlich, dass ein Mehrserver-Setup (vier Server) in den meisten Fällen kürzere Wartezeiten bietet und besser für Umgebungen mit hohen Anfragevolumina geeignet ist. Das Einzelserver-Setup führt zu gleichmäßig verteilten, aber insgesamt längeren Wartezeiten, was auf mögliche Engpässe bei hoher Last hinweist. Zukünftige Arbeiten könnten sich auf die Optimierung der Lastverteilung und die Untersuchung von Hybridansätzen konzentrieren, um die Effizienz weiter zu verbessern.
+

plot/python.py

+
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Function to read waiting times from a file
+def read_waiting_times(filename):
+    with open(filename, 'r') as file:
+        waiting_times = [float(line.strip()) for line in file]
+    return waiting_times
+
+# Read waiting times from the file
+filename = '../logs/log_1server_30ms_bearbeitungszeit.txt'
+waiting_times = read_waiting_times(filename)
+
+# Plotting the histogram
+plt.figure(figsize=(10, 6))
+plt.hist(waiting_times, bins=10, edgecolor='black')
+plt.title('Distribution of Waiting Times')
+plt.xlabel('Waiting Time (seconds)')
+plt.ylabel('Frequency')
+
+# Display the plot
+plt.savefig('plot.png')
+
+# Display basic statistics
+mean_waiting_time = np.mean(waiting_times)
+median_waiting_time = np.median(waiting_times)
+std_waiting_time = np.std(waiting_times)
+
+print(f'Mean waiting time: {mean_waiting_time:.5f} seconds')
+print(f'Median waiting time: {median_waiting_time:.5f} seconds')
+print(f'Standard deviation of waiting time: {std_waiting_time:.5f} seconds')
\ No newline at end of file

server.cpp

+#include <iostream>
+#include <boost/asio.hpp>
+#include <thread>
+#include <chrono>
+#include <random>
+
+using boost::asio::ip::tcp;
+
+void handle_request(tcp::socket socket) {
+    try {
+
+        std::random_device rd;
+        std::default_random_engine generator(rd());
+        std::exponential_distribution<> dist(1.0 / 50.0);
+        double wait_time_ms = dist(generator);
+        std::this_thread::sleep_for(std::chrono::milliseconds(static_cast<int>(wait_time_ms)));
+
+
+        std::string response = "hallo";
+        std::cout<<response<<std::endl ;
+        boost::asio::write(socket, boost::asio::buffer(response, response.length()));
+
+        char data[512];
+        boost::system::error_code error;
+        size_t length = socket.read_some(boost::asio::buffer(data), error);
+
+        if (error == boost::asio::error::eof)
+            return; 
+        else if (error)
+            throw boost::system::system_error(error);
+
+    } catch (std::exception& e) {
+        std::cerr << "Exception in thread: " << e.what() << "\n";
+    }
+}
+
+void server(boost::asio::io_context& io_context, short port) {
+    tcp::acceptor acceptor(io_context, tcp::endpoint(tcp::v4(), port));
+
+    while (true) {
+        tcp::socket socket(io_context);
+        acceptor.accept(socket);
+
+        handle_request(std::move(socket));
+    }
+}
+
+int main() {
+    try {
+        boost::asio::io_context io_context;
+        server(io_context, 12345);
+    } catch (std::exception& e) {
+        std::cerr << "Exception: " << e.what() << "\n";
+    }
+
+    return 0;
+}