C++ 代码实现自动任务感知高性能应用服务调度系统
实现一个自动任务感知的高性能应用服务调度系统是一个复杂的任务，通常涉及多个模块，包括任务管理、资源管理、调度策略、监控和日志、接口和通信等。我们可以按照如下模块划分来实现这个系统：
任务管理模块
负责任务的创建、删除、查询和存储。
#include <iostream>
#include <string>
#include <unordered_map>
#include <vector>
#include <mutex>
class Task {
public:
Task(int id, std::string name) : id(id), name(name) {}
int getId() const { return id; }
std::string getName() const { return name; }
private:
int id;
std::string name;
};
class TaskManager {
public:
void createTask(int id, const std::string& name) {
std::lock_guard<std::mutex> lock(mutex);
tasks.emplace(id, Task(id, name));
std::cout << "Task created: " << name << std::endl;
}
void deleteTask(int id) {
std::lock_guard<std::mutex> lock(mutex);
tasks.erase(id);
std::cout << "Task deleted: " << id << std::endl;
}
Task getTask(int id) {
std::lock_guard<std::mutex> lock(mutex);
return tasks.at(id);
}
std::vector<Task> getAllTasks() {
std::lock_guard<std::mutex> lock(mutex);
std::vector<Task> taskList;
for (const auto& taskPair : tasks) {
taskList.push_back(taskPair.second);
}
return taskList;
}
private:
std::unordered_map<int, Task> tasks;
std::mutex mutex;
};
资源管理模块
负责管理和监控系统资源（CPU、内存、网络等）。
#include <iostream>
#include <thread>
#include <chrono>
class ResourceManager {
public:
void monitorResources() {
while (true) {
std::this_thread::sleep_for(std::chrono::seconds(5));
std::lock_guard<std::mutex> lock(mutex);
// 假设我们只监控CPU和内存使用情况
double cpuUsage = getCPUUsage();
double memoryUsage = getMemoryUsage();
std::cout << "CPU Usage: " << cpuUsage << "%" << std::endl;
std::cout << "Memory Usage: " << memoryUsage << "MB" << std::endl;
}
}
private:
double getCPUUsage() {
// 模拟获取CPU使用率的逻辑
return 10.0; // 返回一个示例值
}
double getMemoryUsage() {
// 模拟获取内存使用率的逻辑
return 2048.0; // 返回一个示例值
}
std::mutex mutex;
};
调度策略模块
负责根据策略选择适当的资源执行任务。
#include <iostream>
#include <vector>
class Scheduler {
public:
Scheduler(ResourceManager& resourceManager) : resourceManager(resourceManager) {}
void scheduleTask(const Task& task) {
// 根据资源情况和任务属性进行调度
std::cout << "Scheduling task: " << task.getName() << std::endl;
// 调度逻辑，比如选择合适的节点或资源池
}
private:
ResourceManager& resourceManager;
};
监控和日志模块
负责记录和监控系统的状态和任务执行情况。
#include <iostream>
#include <fstream>
#include <string>
#include <chrono>
#include <ctime>
#include <mutex>
class Logger {
public:
Logger(const std::string& filename) : logFile(filename, std::ios::out | std::ios::app) {}
void log(const std::string& message) {
std::lock_guard<std::mutex> lock(mutex);
auto now = std::chrono::system_clock::to_time_t(std::chrono::system_clock::now());
logFile << std::ctime(&now) << ": " << message << std::endl;
}
private:
std::ofstream logFile;
std::mutex mutex;
};
接口和通信模块
负责提供API接口和不同模块之间的通信。
#include <iostream>
#include <string>
#include <vector>
#include <thread>
#include <mutex>
class API {
public:
API(TaskManager& taskManager, Scheduler& scheduler, Logger& logger)
: taskManager(taskManager), scheduler(scheduler), logger(logger) {}
void handleRequest(const std::string& request) {
std::lock_guard<std::mutex> lock(mutex);
// 解析请求并执行相应操作
if (request == "create") {
taskManager.createTask(1, "SampleTask");
logger.log("Created task: SampleTask");
} else if (request == "schedule") {
Task task = taskManager.getTask(1);
scheduler.scheduleTask(task);
logger.log("Scheduled task: SampleTask");
}
}
private:
TaskManager& taskManager;
Scheduler& scheduler;
Logger& logger;
std::mutex mutex;
};
Python 代码实现自动任务感知高性能应用服务调度系统
实现一个自动任务感知的高性能应用服务调度系统是一个复杂的任务，通常涉及多个模块，包括任务管理、资源管理、调度策略、监控和日志、接口和通信等。我们可以按照如下模块划分来实现这个系统：
任务管理模块
负责任务的创建、删除、查询和存储。
import threading
class Task:
def __init__(self, task_id, name):
self.task_id = task_id
self.name = name
class TaskManager:
def __init__(self):
self.tasks = {}
self.lock = threading.Lock()
def create_task(self, task_id, name):
with self.lock:
task = Task(task_id, name)
self.tasks[task_id] = task
print(f"Task created: {name}")
def delete_task(self, task_id):
with self.lock:
if task_id in self.tasks:
del self.tasks[task_id]
print(f"Task deleted: {task_id}")
def get_task(self, task_id):
with self.lock:
return self.tasks.get(task_id)
def get_all_tasks(self):
with self.lock:
return list(self.tasks.values())
资源管理模块
负责管理和监控系统资源（CPU、内存、网络等）。
import psutil
import time
import threading
class ResourceManager:
def __init__(self):
self.lock = threading.Lock()
def monitor_resources(self):
while True:
with self.lock:
cpu_usage = psutil.cpu_percent()
memory_usage = psutil.virtual_memory().percent
print(f"CPU Usage: {cpu_usage}%")
print(f"Memory Usage: {memory_usage}%")
time.sleep(5)
调度策略模块
负责根据策略选择适当的资源执行任务。
class Scheduler:
def __init__(self, resource_manager):
self.resource_manager = resource_manager
def schedule_task(self, task):
# 简单的调度逻辑
print(f"Scheduling task: {task.name}")
监控和日志模块
负责记录和监控系统的状态和任务执行情况。
import logging
class Logger:
def __init__(self, filename):
self.logger = logging.getLogger('TaskScheduler')
self.logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename)
handler.setFormatter(logging.Formatter('%(asctime)s - %(message)s'))
self.logger.addHandler(handler)
def log(self, message):
self.logger.info(message)
接口和通信模块
负责提供API接口和不同模块之间的通信。
class API:
def __init__(self, task_manager, scheduler, logger):
self.task_manager = task_manager
self.scheduler = scheduler
self.logger = logger
def handle_request(self, request_type, task_id=None, task_name=None):
if request_type == "create":
self.task_manager.create_task(task_id, task_name)
self.logger.log(f"Created task: {task_name}")
elif request_type == "delete":
self.task_manager.delete_task(task_id)
self.logger.log(f"Deleted task: {task_id}")
elif request_type == "schedule":
task = self.task_manager.get_task(task_id)
if task:
self.scheduler.schedule_task(task)
self.logger.log(f"Scheduled task: {task.name}")