<atomic> 注释3:memory_order_release发布,memory_order_acquire 接收,memory_order_acq_rel发送与接收

(8)memory_order_release 发布 , 这也是一种多线程中的内存管理形式

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++ 举例:

#include <atomic>
#include <thread>
#include <iostream>

std::atomic<int> flag(0);
int data = 0;

void writer() {
    data = 42;  // 对非原子变量的写
    flag.store(1, std::memory_order_release);  // 使用 memory_order_release 标记原子操作
}

void reader() {
    while (flag.load(std::memory_order_acquire) == 0) {
        // 等待
    }
    // 此时,data 一定已经被写入为 42
    std::cout << "Data: " << data << std::endl;
}

int main() {
    std::thread t1(writer);
    std::thread t2(reader);
    t1.join();
    t2.join();
    return 0;
}

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(9) memory_order_acquire 接收

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++举例:

#include <atomic>
#include <thread>
#include <iostream>

std::atomic<bool> ready(false);
int data = 0;

void producer() {
    data = 42;  // 写入数据
    ready.store(true, std::memory_order_release);  // 释放数据,使用 memory_order_release
}

void consumer() {
    while (!ready.load(std::memory_order_acquire)) {
        // 等待数据准备好
    }
    // 此时,data 一定已经被写入为 42
    std::cout << "Data: " << data << std::endl;
}

int main() {
    std::thread t1(producer);
    std::thread t2(consumer);
    t1.join();
    t2.join();
    return 0;
}

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++ 以上两个举例也提供了宝贵的 atomic《T》 的使用范例 。

(10) memory_order_acq_rel发送与接收

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++ 举例:

#include <atomic>
#include <thread>
#include <iostream>

std::atomic<int> flag(0);
int shared_data = 0;

void writer() {
    shared_data = 42;  // 写入数据
    flag.store(1, std::memory_order_release);  // 释放数据,使用 memory_order_release
}

void reader() {
    int local_flag;
    while ((local_flag = flag.load(std::memory_order_acquire)) != 1) {
        // 等待数据准备好
    }
    // 此时,shared_data 一定已经被写入为 42
    std::cout << "Shared Data: " << shared_data << std::endl;
    flag.store(0, std::memory_order_release);  // 重置标志位,使用 memory_order_release
}

void reader_with_acq_rel() {
    int expected = 1;
    while (!flag.compare_exchange_strong(expected, 0, std::memory_order_acq_rel)) {
        // 等待并尝试获取标志位,使用 memory_order_acq_rel
        expected = 1;  // 如果交换失败,则重新设置期望值
    }
    // 此时,shared_data 一定已经被写入为 42(因为 compare_exchange_strong 成功了)
    std::cout << "Shared Data (with acq_rel): " << shared_data << std::endl;
}

int main() {
    std::thread t1(writer);
    std::thread t2(reader);
    std::thread t3(reader_with_acq_rel);
    t1.join();
    t2.join();
    t3.join();
    return 0;
}

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(11)

谢谢

(在您提供的代码中,dbscanParallel函数中包含了一个注释掉的部分,这部分代码是用来输出噪声点(即被标记为-1的点)的。当这部分代码被注释掉时,程序不会输出任何噪声点信息。 从您提供的截图来看,当代码运行时,如果包含输出噪声点的代码被注释掉,那么并行和串行的输出结果会有所不同,因为串行版本中噪声点的检测和标记是同步进行的,而并行版本中这部分工作被多个线程并发执行。这可能导致并行版本的噪声点检测结果串行版本不一致。 此外,由于并行执行时多个线程同时访问和修改共享数据(如labels数组),如果没有适当的同步机制(如原子操作或互斥锁),可能会导致数据竞争和不一致的结果。)根据以上描述改进代码:#include <fstream> #include <iostream> #include <vector> #include <cmath> #include <sstream> #include <string> #include <unordered_set> #include <chrono> #include <algorithm> #include <omp.h> #include <atomic> #include <mutex> struct Point { std::vector<double> values; }; double euclideanDistance(const Point& p1, const Point& p2) { double sum = 0.0; for (size_t i = 0; i < p1.values.size(); ++i) { sum += (p1.values[i] - p2.values[i]) * (p1.values[i] - p2.values[i]); } return std::sqrt(sum); } void dbscanParallel(const std::vector<Point>& points, double eps, int minPts, std::vector<int>& labels) { std::atomic<int> label(0); std::vector<std::atomic<bool>> visited(points.size()); for (auto& v : visited) v.store(false, std::memory_order_relaxed); std::vector<int> noise; #pragma omp parallel { std::vector<int> local_noise; #pragma omp for schedule(dynamic) for (int i = 0; i < points.size(); ++i) { bool expected = false; if (visited[i].compare_exchange_strong(expected, true)) { std::unordered_set<int> neighbors; // 串行计算邻居 for (int j = 0; j < points.size(); ++j) { if (i != j && euclideanDistance(points[i], points[j]) <= eps) { neighbors.insert(j); } } if (neighbors.size() < minPts) { labels[i] = -1; local_noise.push_back(i); } else { int current_label = label.fetch_add(1, std::memory_order_relaxed); labels[i] = current_label; std::vector<int> seeds(neighbors.begin(), neighbors.end()); for (size_t k = 0; k < seeds.size(); ++k) { int seed = seeds[k]; bool seed_expected = false; if (visited[seed].compare_exchange_strong(seed_expected, true)) { labels[seed] = current_label; // 扩展新邻居 std::unordered_set<int> new_neighbors; for (int j = 0; j < points.size(); ++j) { if (j != seed && !visited[j].load(std::memory_order_relaxed) && euclideanDistance(points[seed], points[j]) <= eps) { new_neighbors.insert(j); } } if (new_neighbors.size() >= minPts) { seeds.insert(seeds.end(), new_neighbors.begin(), new_neighbors.end()); } } } } } } #pragma omp critical noise.insert(noise.end(), local_noise.begin(), local_noise.end()); } /*if (!noise.empty()) { std::cout << "Noise points:" << std::endl; for (int idx : noise) { std::cout << "Point " << idx << ": "; for (double val : points[idx].values) { std::cout << val << " "; } std::cout << std::endl; } } else { std::cout << "No noise points detected." << std::endl; }*/ } // 其他函数(如readCSV、dbscanSerial)保持不变 std::vector<Point> readCSV(const std::string& filename) { std::vector<Point> points; std::ifstream file(filename); std::string line; while (std::getline(file, line)) { std::istringstream iss(line); std::string token; Point point; while (std::getline(iss, token, &#39;,&#39;)) { point.values.push_back(std::stod(token)); } points.push_back(point); } return points; } void dbscanSerial(const std::vector<Point>& points, double eps, int minPts, std::vector<int>& labels) { int label = 0; std::vector<bool> visited(points.size(), false); std::vector<int> noise; for (int i = 0; i < points.size(); ++i) { if (!visited[i]) { std::unordered_set<int> neighbors; for (int j = 0; j < points.size(); ++j) { if (i != j && euclideanDistance(points[i], points[j]) <= eps) { neighbors.insert(j); } } if (neighbors.size() < minPts) { labels[i] = -1; // Mark as noise noise.push_back(i); } else { label = ++label; std::unordered_set<int> seeds = neighbors; while (!seeds.empty()) { int seed = *seeds.begin(); seeds.erase(seeds.begin()); visited[seed] = true; labels[seed] = label; std::unordered_set<int> new_neighbors; for (int j = 0; j < points.size(); ++j) { if (!visited[j] && euclideanDistance(points[seed], points[j]) <= eps) { new_neighbors.insert(j); } } for (int j : new_neighbors) { if (neighbors.find(j) == neighbors.end()) { seeds.insert(j); neighbors.insert(j); } } } for (auto it = neighbors.begin(); it != neighbors.end(); ++it) { visited[*it] = true; labels[*it] = label; } } } } /*if (!noise.empty()) { std::cout << "Noise points:" << std::endl; for (int idx : noise) { std::cout << "Point " << idx << ": "; for (double val : points[idx].values) { std::cout << val << " "; } std::cout << std::endl; } } else { std::cout << "No noise points detected." << std::endl; }*/ } int main(int argc, char** argv) { int num_threads = 4; // Default number of threads if (argc > 1) { num_threads = std::stoi(argv[1]); } omp_set_num_threads(num_threads); auto points = readCSV("D:\\桌面\\并行程序\\naiveBayes\\naiveBayes\\iris.csv"); double eps = 0.5; // Epsilon value int minPts = 5; // Minimum points to form a dense region std::vector<int> labels(points.size(), 0); // Serial DBSCAN auto startSerial = std::chrono::high_resolution_clock::now(); dbscanSerial(points, eps, minPts, labels); auto endSerial = std::chrono::high_resolution_clock::now(); std::chrono::duration<double> elapsedSerial = endSerial - startSerial; // Parallel DBSCAN std::fill(labels.begin(), labels.end(), 0); auto startParallel = std::chrono::high_resolution_clock::now(); dbscanParallel(points, eps, minPts, labels); auto endParallel = std::chrono::high_resolution_clock::now(); std::chrono::duration<double> elapsedParallel = endParallel - startParallel; // Calculate speedup and efficiency double speedup = elapsedSerial.count() / elapsedParallel.count(); double efficiency = (speedup / num_threads) * 100; // Print performance results std::cout << "\nPerformance Results:" << std::endl; std::cout << "+------------+----------------+------------------+--------------+----------------+" << std::endl; std::cout << "| Threads | Serial Time (s)| Parallel Time (s)| Speedup | Efficiency (%) |" << std::endl; std::cout << "+------------+----------------+------------------+--------------+----------------+" << std::endl; printf("| %-10d | %-14.6f | %-16.6f | %-12.6f | %-14.2f |\n", num_threads, elapsedSerial.count(), elapsedParallel.count(), speedup, efficiency); std::cout << "+------------+----------------+------------------+--------------+----------------+" << std::endl; return 0; }
05-11
#define WIN32_LEAN_AND_MEAN #define _WINSOCK_DEPRECATED_NO_WARNINGS #include <winsock2.h> #include <windows.h> #include <iostream> #include <iomanip> #include <sstream> #include <string> #include <fstream> #include <unordered_map> #include <algorithm> #include <cstring> #include <atomic> #include <thread> #include <chrono> #include <vector> #include <queue> #include <mutex> #include <condition_variable> #pragma comment(lib, "ws2_32.lib") #pragma comment(lib, "mswsock.lib") // 用于AcceptEx等异步操作 using namespace std; // 常量定义 constexpr DWORD CLIENT_SUB_ADDRESS = 0xAED9F0; constexpr DWORD CRAG_CONNECTION_INSTANCE_R_ADDRESS = 0xAEDE00; constexpr DWORD RECV_PTR_ADDRESS = 0x1424E18; constexpr int RING_BUFFER_SIZE = 64 * 1024; // 64KB环形缓冲区 constexpr int PACKET_POOL_SIZE = 1024; // 预分配1024个封包对象 constexpr int MAX_PACKET_SIZE = 8192; // 最大封包大小8KB constexpr DWORD TIMEOUT = 600000; // 10分钟超时 constexpr DWORD RECONNECT_INTERVAL = 3000; // 3秒重连间隔 constexpr DWORD PING_INTERVAL = 5000; // 5秒Ping间隔 constexpr DWORD SLEEP_TIME = 5; // 5ms休眠 constexpr DWORD HOOK_DELAY = 3000; // 3秒延迟应用Hook constexpr int WORKER_THREAD_COUNT = 4; // 工作线程数量 constexpr int MAX_ASYNC_OPS = 100; // 最大异步操作数量 enum e_PacketType { RECEIVED = 0, SENDED = 1 }; // 原子类型定义 using atomic_socket = atomic<SOCKET>; using atomic_bool = atomic<bool>; using atomic_dword = atomic<DWORD>; // 前向声明 typedef int(__thiscall* SendToClientFunc)(void* CragConnection, size_t size, char* buffer); typedef void* (__stdcall* originalInstanceR)(void); // 异步操作上下文 struct AsyncOperationContext { OVERLAPPED overlapped; SOCKET socket; WSABUF wsaBuf; char buffer[MAX_PACKET_SIZE]; DWORD bytesTransferred; DWORD flags; atomic_bool inUse; AsyncOperationContext() : socket(INVALID_SOCKET), bytesTransferred(0), flags(0) { ZeroMemory(&overlapped, sizeof(OVERLAPPED)); ZeroMemory(buffer, MAX_PACKET_SIZE); inUse.store(false, memory_order_relaxed); } void reset() { ZeroMemory(&overlapped, sizeof(OVERLAPPED)); bytesTransferred = 0; flags = 0; inUse.store(false, memory_order_relaxed); } }; // 线程安全的队列 template<typename T> class ThreadSafeQueue { private: queue<T> queue_; mutable mutex mutex_; condition_variable cond_; public: void push(T value) { lock_guard<mutex> lock(mutex_); queue_.push(move(value)); cond_.notify_one(); } bool try_pop(T& value) { lock_guard<mutex> lock(mutex_); if (queue_.empty()) { return false; } value = move(queue_.front()); queue_.pop(); return true; } bool empty() const { lock_guard<mutex> lock(mutex_); return queue_.empty(); } size_t size() const { lock_guard<mutex> lock(mutex_); return queue_.size(); } }; // 极简环形缓冲区 class SimpleRingBuffer { private: char* buffer; atomic<uint32_t> read_pos; atomic<uint32_t> write_pos; uint32_t size_mask; public: SimpleRingBuffer(uint32_t size) { // 确保大小为2的幂 uint32_t actual_size = 1; while (actual_size < size) actual_size <<= 1; buffer = new char[actual_size]; size_mask = actual_size - 1; read_pos.store(0, memory_order_relaxed); write_pos.store(0, memory_order_relaxed); } ~SimpleRingBuffer() { delete[] buffer; } uint32_t available_read() const { return write_pos.load(memory_order_acquire) - read_pos.load(memory_order_acquire); } uint32_t available_write() const { return size_mask + 1 - (write_pos.load(memory_order_acquire) - read_pos.load(memory_order_acquire)); } bool push(const char* data, uint32_t len) { uint32_t wp = write_pos.load(memory_order_acquire); uint32_t rp = read_pos.load(memory_order_acquire); uint32_t available = size_mask + 1 - (wp - rp); if (available < len) return false; uint32_t index = wp & size_mask; uint32_t first_chunk = min(len, size_mask + 1 - index); memcpy(buffer + index, data, first_chunk); if (first_chunk < len) { memcpy(buffer, data + first_chunk, len - first_chunk); } write_pos.store(wp + len, memory_order_release); return true; } uint32_t pop(char* dest, uint32_t len) { uint32_t rp = read_pos.load(memory_order_acquire); uint32_t wp = write_pos.load(memory_order_acquire); uint32_t available = wp - rp; if (available == 0) return 0; uint32_t to_read = min(len, available); uint32_t index = rp & size_mask; uint32_t first_chunk = min(to_read, size_mask + 1 - index); memcpy(dest, buffer + index, first_chunk); if (first_chunk < to_read) { memcpy(dest + first_chunk, buffer, to_read - first_chunk); } read_pos.store(rp + to_read, memory_order_release); return to_read; } void clear() { read_pos.store(0, memory_order_relaxed); write_pos.store(0, memory_order_relaxed); } }; // 极简内存池 class SimplePacketPool { private: struct PacketNode { char data[MAX_PACKET_SIZE]; uint16_t size; atomic<PacketNode*> next; }; PacketNode* nodes; atomic<PacketNode*> free_head; public: SimplePacketPool(size_t count) { nodes = new PacketNode[count]; // 构建链表 for (size_t i = 0; i < count - 1; ++i) { nodes[i].next.store(&nodes[i + 1], memory_order_relaxed); } nodes[count - 1].next.store(nullptr, memory_order_relaxed); free_head.store(nodes, memory_order_relaxed); } ~SimplePacketPool() { delete[] nodes; } PacketNode* acquire() { PacketNode* current_head = free_head.load(memory_order_acquire); while (current_head) { if (free_head.compare_exchange_weak(current_head, current_head->next.load(memory_order_acquire), memory_order_acq_rel, memory_order_acquire)) { return current_head; } } return nullptr; } void release(PacketNode* node) { if (!node) return; PacketNode* current_head = free_head.load(memory_order_acquire); node->next.store(current_head, memory_order_relaxed); while (!free_head.compare_exchange_weak(current_head, node, memory_order_acq_rel, memory_order_acquire)) { node->next.store(current_head, memory_order_relaxed); } } }; // 全局变量 atomic_socket koreClient(INVALID_SOCKET); atomic_socket roServer(INVALID_SOCKET); atomic_bool koreClientIsAlive(false); atomic_bool keepMainThread(true); atomic_bool imalive(false); atomic_bool hook_applied(false); atomic_bool hook_delayed(false); SimpleRingBuffer sendBuffer(RING_BUFFER_SIZE); SimplePacketPool packetPool(PACKET_POOL_SIZE); string koreServerIP; DWORD koreServerPort; bool allowMultiClient = false; // Hook相关 typedef int (WINAPI* recv_func_t)(SOCKET s, char* buf, int len, int flags); recv_func_t original_recv = nullptr; // 异步I/O相关 HANDLE iocpHandle = NULL; vector<AsyncOperationContext*> asyncContexts; ThreadSafeQueue<AsyncOperationContext*> freeContexts; mutex contextMutex; // 工作线程池 vector<thread> workerThreads; atomic_bool workersRunning(false); // 函数声明 void AllocateConsole(); void debug(const char* msg); bool CreateDefaultConfig(const std::string& filename); bool LoadConfig(const std::string& filename); bool ApplyHook(); void RemoveHook(); bool isConnected(SOCKET s); SOCKET createSocket(const std::string& ip, int port); DWORD GetUserPort(); void init(); void finish(); // 异步I/O函数声明 bool InitializeAsyncIO(); void CleanupAsyncIO(); AsyncOperationContext* GetAsyncContext(); void ReturnAsyncContext(AsyncOperationContext* context); bool PostAsyncRecv(SOCKET socket); void WorkerThreadProc(); bool InitializeWorkerThreads(); void CleanupWorkerThreads(); // 优化函数声明 SOCKET createOptimizedSocket(const std::string& ip, int port); void optimizedSendToKore(const char* data, uint16_t len, e_PacketType type); DWORD WINAPI highPerformancePacketProcessor(LPVOID lpParam); DWORD WINAPI koreConnectionMainOptimized(LPVOID lpParam); bool ApplyHookOptimized(); void initOptimized(); void finishOptimized(); void DelayedHookApplication(); // IOCP优化器 class IOCPOptimizer { private: HANDLE iocp_handle; public: IOCPOptimizer() : iocp_handle(NULL) {} bool initialize() { iocp_handle = CreateIoCompletionPort(INVALID_HANDLE_VALUE, NULL, 0, 0); return iocp_handle != NULL; } bool associateSocket(SOCKET socket) { return CreateIoCompletionPort((HANDLE)socket, iocp_handle, 0, 0) != NULL; } HANDLE getHandle() { return iocp_handle; } ~IOCPOptimizer() { if (iocp_handle) { CloseHandle(iocp_handle); } } }; IOCPOptimizer iocp_optimizer; // 异步I/O初始化 bool InitializeAsyncIO() { // 创建IOCP句柄 iocpHandle = CreateIoCompletionPort(INVALID_HANDLE_VALUE, NULL, 0, WORKER_THREAD_COUNT); if (iocpHandle == NULL) { cout << "[错误] 创建IOCP句柄失败: " << GetLastError() << endl; return false; } // 预分配异步操作上下文 for (int i = 0; i < MAX_ASYNC_OPS; ++i) { AsyncOperationContext* context = new AsyncOperationContext(); asyncContexts.push_back(context); freeContexts.push(context); } cout << "[成功] 异步I/O初始化完成,预分配 " << MAX_ASYNC_OPS << " 个上下文" << endl; return true; } // 清理异步I/O资源 void CleanupAsyncIO() { if (iocpHandle) { CloseHandle(iocpHandle); iocpHandle = NULL; } // 清理异步上下文 for (auto context : asyncContexts) { delete context; } asyncContexts.clear(); // 清空空闲队列 while (!freeContexts.empty()) { AsyncOperationContext* context = nullptr; freeContexts.try_pop(context); } } // 获取异步操作上下文 AsyncOperationContext* GetAsyncContext() { AsyncOperationContext* context = nullptr; if (freeContexts.try_pop(context)) { context->inUse.store(true, memory_order_relaxed); return context; } // 如果没有空闲上下文,动态创建一个(应该很少发生) lock_guard<mutex> lock(contextMutex); context = new AsyncOperationContext(); context->inUse.store(true, memory_order_relaxed); asyncContexts.push_back(context); cout << "[警告] 动态创建异步上下文,当前总数: " << asyncContexts.size() << endl; return context; } // 归还异步操作上下文 void ReturnAsyncContext(AsyncOperationContext* context) { if (context) { context->reset(); freeContexts.push(context); } } // 提交异步接收操作 bool PostAsyncRecv(SOCKET socket) { AsyncOperationContext* context = GetAsyncContext(); if (!context) { cout << "[错误] 无法获取异步上下文" << endl; return false; } context->socket = socket; context->wsaBuf.buf = context->buffer; context->wsaBuf.len = MAX_PACKET_SIZE; context->bytesTransferred = 0; context->flags = 0; DWORD bytesReceived = 0; // 使用WSARecv进行异步接收 int result = WSARecv(socket, &context->wsaBuf, 1, &bytesReceived, &context->flags, &context->overlapped, NULL); if (result == SOCKET_ERROR) { int error = WSAGetLastError(); if (error != WSA_IO_PENDING) { cout << "[错误] WSARecv失败: " << error << endl; ReturnAsyncContext(context); return false; } } return true; } // 工作线程处理函数 void WorkerThreadProc() { while (workersRunning.load(memory_order_acquire)) { DWORD bytesTransferred = 0; ULONG_PTR completionKey = 0; LPOVERLAPPED overlapped = nullptr; // 等待IOCP完成事件 BOOL success = GetQueuedCompletionStatus(iocpHandle, &bytesTransferred, &completionKey, &overlapped, INFINITE); if (!workersRunning.load(memory_order_acquire)) { break; } if (!overlapped) { // 收到退出信号 continue; } // 获取异步上下文 AsyncOperationContext* context = CONTAINING_RECORD(overlapped, AsyncOperationContext, overlapped); if (!success) { DWORD error = GetLastError(); if (error != WAIT_TIMEOUT) { cout << "[错误] IOCP操作失败: " << error << endl; // 处理连接断开 if (context->socket == koreClient.load(memory_order_acquire)) { koreClient.store(INVALID_SOCKET, memory_order_release); koreClientIsAlive.store(false, memory_order_release); } } ReturnAsyncContext(context); continue; } // 处理接收到的数据 if (bytesTransferred > 0) { // 处理数据包逻辑 char* data = context->buffer; int remaining = bytesTransferred; while (remaining >= 3) { char packet_type = data[0]; uint16_t packet_len = *reinterpret_cast<uint16_t*>(data + 1); if (remaining < 3 + packet_len) break; if (packet_type == &#39;S&#39; && packet_len > 0) { // 发送到RO客户端 auto* sendFunc = reinterpret_cast<SendToClientFunc>(CLIENT_SUB_ADDRESS); auto* instanceR = reinterpret_cast<originalInstanceR>(CRAG_CONNECTION_INSTANCE_R_ADDRESS); if (sendFunc && instanceR) { void* instance = instanceR(); if (instance) { sendFunc(instance, packet_len, data + 3); } } } int packet_total_size = 3 + packet_len; data += packet_total_size; remaining -= packet_total_size; } // 继续提交异步接收 if (context->socket != INVALID_SOCKET) { PostAsyncRecv(context->socket); } } else { // 连接关闭 if (context->socket == koreClient.load(memory_order_acquire)) { koreClient.store(INVALID_SOCKET, memory_order_release); koreClientIsAlive.store(false, memory_order_release); } ReturnAsyncContext(context); } } } // 初始化工作线程池 bool InitializeWorkerThreads() { workersRunning.store(true, memory_order_release); for (int i = 0; i < WORKER_THREAD_COUNT; ++i) { workerThreads.emplace_back(WorkerThreadProc); } cout << "[成功] 启动 " << WORKER_THREAD_COUNT << " 个工作线程" << endl; return true; } // 清理工作线程池 void CleanupWorkerThreads() { workersRunning.store(false, memory_order_release); // 向所有线程发送退出信号 for (size_t i = 0; i < workerThreads.size(); ++i) { PostQueuedCompletionStatus(iocpHandle, 0, 0, NULL); } // 等待线程退出 for (auto& thread : workerThreads) { if (thread.joinable()) { thread.join(); } } workerThreads.clear(); cout << "[信息] 工作线程池已清理" << endl; } // 优化的recv钩子函数 int WINAPI hooked_recv(SOCKET s, char* buf, int len, int flags) { int result = original_recv(s, buf, len, flags); if (result > 0) { roServer.store(s, memory_order_release); // 使用内存池避免动态分配 auto packet_node = packetPool.acquire(); if (packet_node) { packet_node->size = static_cast<uint16_t>(result); memcpy(packet_node->data, buf, result); // 构建发送数据 char send_buf[3 + MAX_PACKET_SIZE]; send_buf[0] = &#39;R&#39;; *reinterpret_cast<uint16_t*>(send_buf + 1) = packet_node->size; memcpy(send_buf + 3, packet_node->data, packet_node->size); // 非阻塞写入环形缓冲区 if (!sendBuffer.push(send_buf, 3 + packet_node->size)) { // 缓冲区满,直接发送到RO服务器(降级处理) SOCKET ro_sock = roServer.load(memory_order_acquire); if (ro_sock != INVALID_SOCKET) { send(ro_sock, buf, result, 0); } } packetPool.release(packet_node); } } return result; } // 控制台分配 void AllocateConsole() { AllocConsole(); freopen_s((FILE**)stdout, "CONOUT$", "w", stdout); freopen_s((FILE**)stderr, "CONOUT$", "w", stderr); freopen_s((FILE**)stdin, "CONIN$", "r", stdin); #ifdef UNICODE SetConsoleTitle(L"xKore优化版 - 调试控制台"); #else SetConsoleTitle("xKore优化版 - 调试控制台"); #endif } // 调试输出 void debug(const char* msg) { cout << "[调试] " << msg << endl; } // 创建默认配置 bool CreateDefaultConfig(const std::string& filename) { ofstream fout(filename); if (!fout.is_open()) { cout << "[错误] 无法创建配置文件: " << filename << endl; return false; } fout << "# xKore服务器配置\n"; fout << "koreServerIP=127.0.0.1\n"; fout << "koreServerPort=2350\n"; fout << "\n"; fout << "# 多客户端配置\n"; fout << "# 如果为true, 每次执行时在终端询问端口\n"; fout << "# 如果为false, 总是使用koreServerPort的默认端口\n"; fout << "allowMultiClient=true"; fout.close(); cout << "[成功] 默认配置文件已创建: " << filename << endl; return true; } // 加载配置 bool LoadConfig(const std::string& filename) { ifstream fin(filename); if (!fin.is_open()) { if (!CreateDefaultConfig(filename)) { return false; } cout << "\n*** 注意: 使用前请配置 &#39;" << filename << "&#39; 文件! ***" << endl; cout << "========================\n" << endl; fin.open(filename); if (!fin.is_open()) { cout << "[错误] 无法打开创建的配置文件: " << filename << endl; return false; } } string line; unordered_map<string, string> mapa; while (getline(fin, line)) { if (line.empty()) continue; if (line[0] == &#39;#&#39; || line[0] == &#39;;&#39;) continue; size_t pos = line.find(&#39;=&#39;); if (pos == string::npos) continue; string chave = line.substr(0, pos); string valor = line.substr(pos + 1); while (!chave.empty() && isspace(chave.back())) chave.pop_back(); while (!valor.empty() && isspace(valor.front())) valor.erase(0, 1); while (!valor.empty() && isspace(valor.back())) valor.pop_back(); mapa[chave] = valor; } fin.close(); if (mapa.count("koreServerIP") == 0 || mapa.count("koreServerPort") == 0) { cout << "[错误] config_recv.txt中缺少必要的键。需要:\n" << " koreServerIP\n" << " koreServerPort\n"; return false; } try { koreServerIP = mapa.at("koreServerIP"); koreServerPort = static_cast<DWORD>(stoul(mapa.at("koreServerPort"), nullptr, 10)); if (mapa.count("allowMultiClient") > 0) { string allowMultiStr = mapa.at("allowMultiClient"); transform(allowMultiStr.begin(), allowMultiStr.end(), allowMultiStr.begin(), ::tolower); allowMultiClient = (allowMultiStr == "true" || allowMultiStr == "1" || allowMultiStr == "yes"); } } catch (exception& e) { cout << "[错误] 转换值时出现异常: " << e.what() << endl; return false; } cout << "[信息] 配置加载成功:\n\n" << " koreServerIP = " << koreServerIP << "\n" << " koreServerPort = " << koreServerPort << "\n" << " allowMultiClient = " << (allowMultiClient ? "true" : "false") << endl; return true; } // 应用Hook(优化版) bool ApplyHookOptimized() { if (original_recv != nullptr) { return true; // 已经hook } recv_func_t* recv_ptr = reinterpret_cast<recv_func_t*>(RECV_PTR_ADDRESS); original_recv = *recv_ptr; if (original_recv == nullptr) { cout << "错误: 原始recv指针为空!" << endl; return false; } *recv_ptr = hooked_recv; // 验证hook是否成功 if (*recv_ptr == hooked_recv) { hook_applied.store(true, memory_order_release); cout << "Hook应用成功!" << endl; return true; } return false; } // 延迟应用Hook函数 void DelayedHookApplication() { cout << "[信息] 等待3秒后应用Hook(避免强壳和NP检测)..." << endl; // 等待3秒 this_thread::sleep_for(chrono::milliseconds(HOOK_DELAY)); cout << "[信息] 开始应用Hook..." << endl; if (ApplyHookOptimized()) { cout << "[成功] 延迟Hook应用成功" << endl; hook_delayed.store(true, memory_order_release); } else { cout << "[错误] 延迟Hook应用失败" << endl; } } // 移除Hook void RemoveHook() { if (original_recv) { recv_func_t* recv_ptr = reinterpret_cast<recv_func_t*>(RECV_PTR_ADDRESS); *recv_ptr = original_recv; cout << "Hook已移除!" << endl; } } // 检查socket连接状态 bool isConnected(SOCKET s) { if (s == INVALID_SOCKET) return false; fd_set readfds; FD_ZERO(&readfds); FD_SET(s, &readfds); timeval timeout = { 0, 0 }; int result = select(0, &readfds, NULL, NULL, &timeout); if (result == SOCKET_ERROR) return false; return true; } // 创建优化socket SOCKET createOptimizedSocket(const std::string& ip, int port) { sockaddr_in addr; SOCKET sock = socket(AF_INET, SOCK_STREAM, IPPROTO_TCP); if (sock == INVALID_SOCKET) { cout << "[错误] 创建socket失败: " << WSAGetLastError() << endl; return INVALID_SOCKET; } // 关键TCP优化参数 int nodelay = 1; if (setsockopt(sock, IPPROTO_TCP, TCP_NODELAY, (char*)&nodelay, sizeof(nodelay)) == SOCKET_ERROR) { cout << "[警告] 设置TCP_NODELAY失败: " << WSAGetLastError() << endl; } // 设置发送缓冲区大小 int send_buf_size = 64 * 1024; setsockopt(sock, SOL_SOCKET, SO_SNDBUF, (char*)&send_buf_size, sizeof(send_buf_size)); // 设置接收缓冲区大小 int recv_buf_size = 64 * 1024; setsockopt(sock, SOL_SOCKET, SO_RCVBUF, (char*)&recv_buf_size, sizeof(recv_buf_size)); addr.sin_family = AF_INET; addr.sin_port = htons(static_cast<u_short>(port)); addr.sin_addr.s_addr = inet_addr(ip.c_str()); // 非阻塞连接 unsigned long mode = 1; ioctlsocket(sock, FIONBIO, &mode); int connect_result = connect(sock, (struct sockaddr*)&addr, sizeof(addr)); // 等待连接完成 fd_set writefds; FD_ZERO(&writefds); FD_SET(sock, &writefds); timeval timeout = { 3, 0 }; // 3秒超时 int select_result = select(0, NULL, &writefds, NULL, &timeout); if (select_result <= 0) { cout << "[错误] 连接超时或失败: " << WSAGetLastError() << endl; closesocket(sock); return INVALID_SOCKET; } // 检查socket错误 int error = 0; int error_len = sizeof(error); getsockopt(sock, SOL_SOCKET, SO_ERROR, (char*)&error, &error_len); if (error != 0) { cout << "[错误] 连接失败: " << error << endl; closesocket(sock); return INVALID_SOCKET; } // 恢复阻塞模式 mode = 0; ioctlsocket(sock, FIONBIO, &mode); // 关联到IOCP if (iocpHandle) { CreateIoCompletionPort((HANDLE)sock, iocpHandle, 0, 0); } return sock; } // 优化数据发送 void optimizedSendToKore(const char* data, uint16_t len, e_PacketType type) { if (!koreClientIsAlive.load(memory_order_acquire)) return; char header[3]; header[0] = (type == RECEIVED) ? &#39;R&#39; : &#39;S&#39;; *reinterpret_cast<uint16_t*>(header + 1) = len; // 先尝试写入header if (!sendBuffer.push(header, 3)) { return; // 缓冲区满,丢弃数据 } // 再写入数据 if (!sendBuffer.push(data, len)) { // 回滚header写入 char temp[3]; sendBuffer.pop(temp, 3); } } // 高性能封包处理线程 DWORD WINAPI highPerformancePacketProcessor(LPVOID lpParam) { char local_buf[4096]; atomic_dword last_send_time(GetTickCount()); atomic_dword last_ping_time(GetTickCount()); while (keepMainThread.load(memory_order_acquire)) { DWORD current_time = GetTickCount(); // 处理发送缓冲区 uint32_t available = sendBuffer.available_read(); if (available > 0) { SOCKET kore_sock = koreClient.load(memory_order_acquire); if (kore_sock != INVALID_SOCKET) { uint32_t bytes_read = sendBuffer.pop(local_buf, min(available, sizeof(local_buf))); if (bytes_read > 0) { int sent = send(kore_sock, local_buf, bytes_read, 0); if (sent == SOCKET_ERROR) { // 发送失败,可能连接已断开 koreClient.store(INVALID_SOCKET, memory_order_release); koreClientIsAlive.store(false, memory_order_release); } else { last_send_time.store(current_time, memory_order_relaxed); } } } } // 定期Ping(保持连接活跃) if (current_time - last_ping_time.load(memory_order_relaxed) > PING_INTERVAL) { SOCKET kore_sock = koreClient.load(memory_order_acquire); if (kore_sock != INVALID_SOCKET) { char ping_packet[3] = { &#39;K&#39;, 0, 0 }; send(kore_sock, ping_packet, 3, 0); } last_ping_time.store(current_time, memory_order_relaxed); } // 智能休眠:有数据时忙等待,无数据时短暂休眠 if (available == 0) { Sleep(1); // 1ms休眠减少CPU占用 } } return 0; } // 主连接线程(优化版) DWORD WINAPI koreConnectionMainOptimized(LPVOID lpParam) { // 等待Hook应用完成 while (!hook_delayed.load(memory_order_acquire) && keepMainThread.load(memory_order_acquire)) { cout << "[信息] 等待Hook应用完成..." << endl; Sleep(500); } if (!hook_applied.load(memory_order_acquire)) { cout << "[错误] Hook未应用,连接线程退出" << endl; return 1; } // 创建专用的封包处理线程 HANDLE packet_thread = CreateThread(NULL, 0, highPerformancePacketProcessor, NULL, CREATE_SUSPENDED, NULL); if (!packet_thread) { cout << "[错误] 创建封包处理线程失败: " << GetLastError() << endl; return 1; } // 设置线程优先级 SetThreadPriority(packet_thread, THREAD_PRIORITY_ABOVE_NORMAL); SetThreadPriority(GetCurrentThread(), THREAD_PRIORITY_ABOVE_NORMAL); // 禁用线程通知减少开销 DisableThreadLibraryCalls(GetModuleHandle(NULL)); // 启动封包处理线程 ResumeThread(packet_thread); char recv_buf[8192]; atomic_dword last_connect_attempt(0); atomic_dword last_activity_time(GetTickCount()); cout << "[信息] xKore连接线程已启动" << endl; while (keepMainThread.load(memory_order_acquire)) { DWORD current_time = GetTickCount(); SOCKET current_kore_client = koreClient.load(memory_order_acquire); // 连接管理 if (current_kore_client == INVALID_SOCKET || !isConnected(current_kore_client)) { if (current_time - last_connect_attempt.load(memory_order_relaxed) > RECONNECT_INTERVAL) { if (current_kore_client != INVALID_SOCKET) { shutdown(current_kore_client, SD_BOTH); closesocket(current_kore_client); } SOCKET new_socket = createOptimizedSocket(koreServerIP, koreServerPort); if (new_socket != INVALID_SOCKET) { koreClient.store(new_socket, memory_order_release); koreClientIsAlive.store(true, memory_order_release); imalive.store(true, memory_order_release); last_activity_time.store(current_time, memory_order_relaxed); // 提交异步接收操作 if (iocpHandle) { PostAsyncRecv(new_socket); } cout << "[成功] 已连接到xKore服务器 " << koreServerIP << ":" << koreServerPort << endl; } else { koreClientIsAlive.store(false, memory_order_release); imalive.store(false, memory_order_release); cout << "[错误] 连接xKore服务器失败" << endl; } last_connect_attempt.store(current_time, memory_order_relaxed); } Sleep(100); // 连接失败时短暂休眠 continue; } // 检查超时 if (current_time - last_activity_time.load(memory_order_relaxed) > TIMEOUT) { cout << "[警告] 连接超时,重新连接..." << endl; koreClient.store(INVALID_SOCKET, memory_order_release); continue; } // 如果没有使用异步I/O,则使用传统的recv if (!iocpHandle) { int bytes_received = recv(current_kore_client, recv_buf, sizeof(recv_buf), 0); if (bytes_received > 0) { last_activity_time.store(current_time, memory_order_relaxed); // 处理接收到的封包 const char* data_ptr = recv_buf; int remaining = bytes_received; while (remaining >= 3) { char packet_type = data_ptr[0]; uint16_t packet_len = *reinterpret_cast<const uint16_t*>(data_ptr + 1); if (remaining < 3 + packet_len) break; // 数据不完整 if (packet_type == &#39;S&#39; && packet_len > 0) { // 发送到RO客户端 auto* sendFunc = reinterpret_cast<SendToClientFunc>(CLIENT_SUB_ADDRESS); auto* instanceR = reinterpret_cast<originalInstanceR>(CRAG_CONNECTION_INSTANCE_R_ADDRESS); if (sendFunc && instanceR) { void* instance = instanceR(); if (instance) { sendFunc(instance, packet_len, const_cast<char*>(data_ptr + 3)); } } } int packet_total_size = 3 + packet_len; data_ptr += packet_total_size; remaining -= packet_total_size; } } else if (bytes_received == 0) { // 连接关闭 cout << "[信息] xKore服务器断开连接" << endl; shutdown(current_kore_client, SD_BOTH); closesocket(current_kore_client); koreClient.store(INVALID_SOCKET, memory_order_release); koreClientIsAlive.store(false, memory_order_release); imalive.store(false, memory_order_release); } else if (bytes_received == SOCKET_ERROR) { int error = WSAGetLastError(); if (error != WSAEWOULDBLOCK) { cout << "[错误] 接收数据失败: " << error << endl; koreClient.store(INVALID_SOCKET, memory_order_release); } } } // 轻微休眠避免过高CPU占用 Sleep(SLEEP_TIME); } // 清理线程 keepMainThread.store(false, memory_order_release); WaitForSingleObject(packet_thread, 5000); CloseHandle(packet_thread); cout << "[信息] xKore连接线程已退出" << endl; return 0; } // 获取用户端口(多客户端模式) DWORD GetUserPort() { char input[256]; cout << "\n[多客户端模式]" << endl; cout << "请输入xKore服务器端口(默认: " << koreServerPort << "): "; if (fgets(input, sizeof(input), stdin)) { input[strcspn(input, "\r\n")] = 0; if (strlen(input) == 0) { cout << "使用默认端口: " << koreServerPort << endl; return koreServerPort; } int inputPort = atoi(input); if (inputPort > 0 && inputPort <= 65535) { cout << "使用自定义端口: " << inputPort << endl; return static_cast<DWORD>(inputPort); } else { cout << "无效端口! 使用默认端口: " << koreServerPort << endl; return koreServerPort; } } cout << "读取错误! 使用默认端口: " << koreServerPort << endl; return koreServerPort; } // 初始化函数 void initOptimized() { AllocateConsole(); cout << "=== xKore优化版 ===" << endl; cout << "架构: x86 (32位)" << endl; cout << "优化: 原子操作 + 内存池 + 环形缓冲区 + 异步I/O" << endl; cout << "特性: 3秒延迟Hook(避免强壳检测)" << endl; // 初始化Winsock WSADATA wsaData; if (WSAStartup(MAKEWORD(2, 2), &wsaData) != 0) { cout << "[错误] Winsock初始化失败" << endl; return; } // 加载配置 if (!LoadConfig("config_recv.txt")) { cout << "[致命] 加载配置文件失败" << endl; keepMainThread.store(false, memory_order_release); return; } // 多客户端模式 if (allowMultiClient) { koreServerPort = GetUserPort(); } // 初始化异步I/O系统 if (!InitializeAsyncIO()) { cout << "[警告] 异步I/O初始化失败,使用传统模式" << endl; } else { // 初始化工作线程池 if (!InitializeWorkerThreads()) { cout << "[警告] 工作线程池初始化失败,使用传统模式" << endl; CleanupAsyncIO(); } } // 创建延迟Hook应用线程 HANDLE hook_thread = CreateThread(NULL, 0, [](LPVOID) -> DWORD { DelayedHookApplication(); return 0; }, NULL, 0, NULL); if (hook_thread) { cout << "[信息] 延迟Hook线程已启动" << endl; CloseHandle(hook_thread); // 不需要保持句柄 } else { cout << "[错误] 创建延迟Hook线程失败: " << GetLastError() << endl; // 直接应用Hook作为备选方案 cout << "[信息] 尝试直接应用Hook..." << endl; ApplyHookOptimized(); } // 创建优化版主线程 HANDLE hThread = CreateThread(NULL, 0, koreConnectionMainOptimized, NULL, 0, NULL); if (hThread) { cout << "[成功] xKore主线程已启动" << endl; CloseHandle(hThread); // 不需要保持句柄 } else { cout << "[错误] 创建主线程失败: " << GetLastError() << endl; keepMainThread.store(false, memory_order_release); } cout << "====================\n" << endl; } // 清理函数 void finishOptimized() { cout << "[信息] 开始清理资源..." << endl; keepMainThread.store(false, memory_order_release); // 等待线程退出 Sleep(100); // 清理工作线程池和异步I/O CleanupWorkerThreads(); CleanupAsyncIO(); // 关闭socket连接 SOCKET sock = koreClient.exchange(INVALID_SOCKET, memory_order_acq_rel); if (sock != INVALID_SOCKET) { shutdown(sock, SD_BOTH); closesocket(sock); } sock = roServer.exchange(INVALID_SOCKET, memory_order_acq_rel); if (sock != INVALID_SOCKET) { closesocket(sock); } // 移除hook if (original_recv) { RemoveHook(); } // 清理Winsock WSACleanup(); cout << "[信息] 资源清理完成" << endl; } // DLL主入口 BOOL APIENTRY DllMain(HMODULE hModule, DWORD ul_reason_for_call, LPVOID lpReserved) { switch (ul_reason_for_call) { case DLL_PROCESS_ATTACH: // 禁用线程通知以减少开销 DisableThreadLibraryCalls(hModule); initOptimized(); break; case DLL_PROCESS_DETACH: finishOptimized(); break; case DLL_THREAD_ATTACH: case DLL_THREAD_DETACH: break; } return TRUE; }针对 RO 的1 对 1 单 IP 连接、高频小封包场景,IOCP 的 “恰到好处” 核心是:聚焦 “单连接下的高频 IO 效率”,砍掉多连接场景的冗余设计,用最小的资源开销解决 “卡顿、丢包” 问题,避免为 “用而用” 的过度优化。具体需在 6 个关键环节做到精准控制,既保留 IOCP 的核心优势,又不引入不必要的复杂度: 一、完成端口(IOCP)初始化:极简配置,不浪费内核资源 单连接场景下,IOCP 无需配置多连接的 “高并发参数”,核心是 “轻量化创建 + 绑定单 Socket”,避免内核资源闲置: 并发线程数设为 1,而非 CPU 核心数CreateIoCompletionPort 的第 4 个参数(NumberOfConcurrentThreads)控制允许同时处理 IO 事件的线程数。多连接场景会设为 CPU 核心数(如 4 核设 4),但单连接下 IO 事件是 “串行触发”(同一时间仅 1 个小封包待处理),设为1即可 —— 多线程反而会导致 “线程切换开销”(比如 2 个线程抢 1 个 IO 事件,浪费 CPU)。文档中IOCPOptimizer::initialize()用了默认的0(等于 CPU 核心数),可优化为1,更贴合单连接: cpp 运行 iocp_handle = CreateIoCompletionPort(INVALID_HANDLE_VALUE, NULL, 0, 1); // 最后一个参数设为1 仅关联 1 个目标 Socket,不做批量绑定单连接场景下,仅需将 RO 客户端服务器的 Socket(或 xKore 代理的 Socket)关联到 IOCP,无需设计 “批量 Socket 绑定逻辑”(如循环绑定多个连接)。文档中associateSocket()单次绑定 1 个 Socket 的逻辑已适配,无需额外扩展。 二、线程池设计:1 个工作线程足够,拒绝 “多线程冗余” IOCP 的线程池是 “事件消费者”,单连接下高频小封包的 IO 事件是 “连续且串行” 的,1 个工作线程即可高效处理,多线程反而会引入 “锁竞争”(如抢读环形缓冲区),属于过度优化: 固定 1 个 IO 工作线程,不动态增减无需设计 “根据 IO 压力动态创建 / 销毁线程” 的逻辑(多连接场景才需要),直接创建 1 个常驻线程处理 IO 事件即可。比如文档中的highPerformancePacketProcessor线程,可固定为 1 个,无需用线程池(如CreateThreadPool)—— 代码中SetThreadPriority设为THREAD_PRIORITY_ABOVE_NORMAL是合理的(保证 IO 处理优先级高于普通逻辑,避免小封包延迟),但无需多线程。 线程 IO 事件 “一对一绑定”,避免线程切换单线程处理所有 IO 事件(读 / 写 / 错误),无需拆分 “读线程”“写线程”—— 拆分后会增加 “线程间通信开销”(如写线程通知读线程处理数据),反而降低效率。文档中 “1 个线程处理发送缓冲区 + Ping + 超时检测” 的逻辑已适配,无需修改。 三、IO 请求投递:预投递 + 小缓冲区,适配高频小封包 RO 的小封包(10~512 字节)若 “每次投递 1 个 IO 请求”,会导致系统调用(WSARecv/WSASend)频繁,反而增加开销。需用 “预投递 + 固定小缓冲区” 优化,平衡效率资源: 预投递 1 个读请求,而非多次投递单连接下,Socket 接收缓冲区的小封包是 “连续到达” 的,可预先投递 1 个WSARecv请求(挂起等待数据),数据到达后处理完再投递下 1 个 —— 避免 “每收到 1 个小封包就投递 1 次请求” 的高频系统调用。示例逻辑: cpp 运行 // 预投递读请求(初始化时执行1次) OVERLAPPED ov; memset(&ov, 0, sizeof(ov)); char recv_buf[512]; // 适配RO小封包,不用8192字节大缓冲区 WSARecv(sock, &wsabuf, 1, NULL, &flags, &ov, NULL); // 处理完成事件后,再次投递下1个请求 while (keepRunning) { GetQueuedCompletionStatus(iocp_handle, &bytesTransferred, &key, &ov, INFINITE); processSmallPacket(recv_buf, bytesTransferred); // 处理小封包 WSARecv(sock, &wsabuf, 1, NULL, &flags, &ov, NULL); // 再次预投递 } 这里缓冲区设为512 字节(RO 小封包最大通常不超过 512),比文档中recv_buf[8192]更节省内存,且避免 “大缓冲区空闲浪费”。 写请求 “批量合并”,减少 WSASend 调用高频小封包发送时,若每次调用WSASend发送 1 个小封包(如 10 字节),系统调用开销占比极高。可结合文档中的环形缓冲区(sendBuffer) ,积累多个小封包(如累计到 1KB 或等待 1ms)后,一次性调用WSASend发送 —— 但需注意 “延迟平衡”(累计时间不超过 1ms,避免 RO 实时交互卡顿)。文档中 “有数据就发送” 的逻辑可微调:增加 “最小累计字节数”(如 128 字节),减少系统调用次数,又不影响延迟。 四、缓冲区内存管理:贴合小封包,避免 “大缓冲冗余” RO 的小封包不需要大缓冲区,过度分配会导致内存浪费;同时需避免动态内存分配(高频小封包易引发内存碎片),文档中的内存池已适配,需进一步贴合场景: Socket 缓冲区设为 64KB,不盲目调大SO_SNDBUF/SO_RCVBUF 的大小需适配小封包:设为 64KB 足够(RO 每秒数百个小封包,总流量仅几十 KB),设为 128KB 或更大反而会增加 “缓冲区数据拷贝开销”(内核到用户态)。文档中send_buf_size = 64 * 1024的配置已恰到好处,无需修改。 内存池单包大小设为 512 字节,而非 8KB文档中MAX_PACKET_SIZE = 8192(8KB)过大,RO 小封包最大仅 512 字节,可改为512,减少内存池的内存占用(1024 个包仅 512KB,原 8KB 需 8MB)。同时避免 “大缓冲区拆分小封包” 的逻辑,简化内存池管理。 五、错误处理降级:简单可靠,不做复杂容错 单连接场景下,IO 错误类型少(如连接断开、超时),无需设计 “复杂的错误重试逻辑”(如多连接的 “故障转移”),做到 “快速检测 + 优雅降级” 即可: 仅处理关键错误,避免冗余判断重点处理 3 类错误:WSAECONNRESET(连接被重置)、WSAETIMEDOUT(超时)、ERROR_NETNAME_DELETED(连接关闭),其他错误直接触发 “重连逻辑”(如文档中的koreClient.store(INVALID_SOCKET))。无需遍历所有 WSA 错误码,减少判断开销。 IOCP 初始化失败时,降级为 “简化异步 IO”若 IOCP 创建失败(如老旧系统不支持),无需崩溃,可降级为 “WSAEventSelect”(比 select 高效,比 IOCP 简单),而非直接用 select。文档中 “IOCP 关联失败仅警告” 的逻辑可优化为降级逻辑,保证兼容性,又不引入过度容错。 六、避免 “为 IOCP 而加的冗余特性” 单连接场景下,多连接 IOCP 的常见特性(如 “连接池”“负载均衡”“多完成端口拆分”)均无需实现,属于典型的过度优化: 不做 “连接池”:单连接无需缓存多个 Socket,直接创建 / 关闭即可; 不做 “多完成端口”:1 个完成端口足够处理单连接,多完成端口会增加内核调度开销; 不做 “IO 事件优先级”:单连接下所有小封包优先级相同(如移动、技能封包无先后),无需设计事件优先级队列。 总结:IOCP “恰到好处” 的核心原则 针对 RO 1 对 1 单连接、高频小封包场景,IOCP 的优化需围绕 “最小资源开销解决核心问题”: 资源上:1 个完成端口 + 1 个工作线程 + 64KB Socket 缓冲区 + 512 字节内存池,不浪费内存 CPU; 逻辑上:预投递 1 个读请求 + 批量合并写请求 + 简单错误处理,不引入多线程、多完成端口等冗余设计; 目标上:仅解决 “select 轮询开销”“小封包延迟”“缓冲区溢出丢包” 三大问题,不追求 “多连接扩展性”“极致并发” 等无关特性。 这种设计既保留了 IOCP “异步无轮询” 的核心优势(从根源解决卡顿、丢包),又避免了过度优化带来的复杂度资源浪费,完全适配 RO 的单连接高频小封包场景。
最新发布
09-24
### 正确使用 `std::atomic` 的 `store` 方法及 `std::memory_order_relaxed` 在 C++11 中,`std::atomic` 类型提供了线程安全的操作机制。其中,`store` 方法允许将一个值写入到原子变量中,并可以通过指定不同的内存顺序参数(如 `std::memory_order_relaxed`)来优化性能。 #### `std::atomic::store` 方法简介 `std::atomic::store` 是一种用于向原子对象写入新值的方法。它的语法形式如下: ```cpp void store(T desired, std::memory_order order = std::memory_order_seq_cst) noexcept; ``` - 参数 `desired` 表示希望存储的新值。 - 参数 `order` 定义了执行此操作时所需的内存顺序,默认为 `std::memory_order_seq_cst`(全局序列化)。为了提高性能,可以根据需求选择更弱的内存顺序,例如 `std::memory_order_relaxed`[^2]。 当使用 `std::memory_order_relaxed` 作为内存顺序时,表示该操作不会引入任何同步或排序约束。这意味着它既不会阻止其他线程观察到不同步的状态变化,也不会影响其他非原子变量之间的可见性关系。因此,只有在确实不需要考虑其他操作交互的情况下才应选用这种模式。 --- ### 示例代码展示 下面给出一段简单示例说明如何正确运用带有 `std::memory_order_relaxed` 的 `std::atomic::store` 函数: ```cpp #include <iostream> #include <atomic> #include <thread> std::atomic<int> counter(0); void increment_counter() { // 使用 relaxed 内存顺序进行增量操作 int current_value = counter.load(std::memory_order_relaxed); while(!counter.compare_exchange_weak(current_value, current_value + 1, std::memory_order_relaxed)); } int main() { const size_t thread_count = 10; std::vector<std::thread> threads; for(size_t i = 0; i < thread_count; ++i){ threads.emplace_back(increment_counter); } for(auto& th : threads){ if(th.joinable()) th.join(); } std::cout << "Final Counter Value: " << counter.load(std::memory_order_relaxed) << "\n"; return 0; } ``` 在这个例子中,多个线程同时尝试对同一个共享资源——即整数类型的 `counter` ——实施加法运算。由于这里并不涉及复杂的同步条件,所以我们可以放心大胆地采用 `std::memory_order_relaxed` 来提升效率[^3]。 注意:尽管上面的例子采用了 `compare_exchange_weak` 配合 `relaxed` 订单位实现了自增功能,但这实际上是一个复合动作而非单纯的储存行为;真正的单一储存案例会在下一个部分讨论。 --- ### 单纯储存实例 如果我们只是单纯想把某个固定数值放进原子变量里而不关心别的事情的话,那么可以直接调用 `store` 方法即可: ```cpp #include <iostream> #include <atomic> std::atomic<bool> flag(false); void set_flag_to_true(){ flag.store(true,std::memory_order_relaxed); } int main(){ set_flag_to_true(); bool result=flag.load(std::memory_order_relaxed); std::cout<<"Flag&#39;s state:"<<result<<"\n"; return 0; } ``` 在此处,我们创建了一个布尔类型的原子变量 `flag` ,并通过另一个独立函数将其设定成真状态。整个过程中没有任何潜在竞争状况存在,故而完全可以利用 `std::memory_order_relaxed` 达成目的[^1]。 --- ### 性能考量注意事项 虽然 `std::memory_order_relaxed` 能够带来一定的性能优势,但它也伴随着风险。程序员必须清楚理解自己的应用场景是否真的可以容忍如此松散的行为准则。一旦误用了不当级别的记忆体定序,则可能导致难以察觉却极其严重的 bug 。所以在实际开发当中应当谨慎评估后再做决定。 --- ###
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