? WSaiOS v4 — 资源管理系统内核（Resource Kernel）
? v4本质
v4 = 引入 Resource Manager，让系统开始“分配、限制、回收计算资源”
? v3 → v4 核心跃迁
| 模块 | v3 | v4 |
|---|---|---|
| 系统能力 | Driver 调用 | Resource 管理 |
| 核心逻辑 | 执行任务 | 控制资源 |
| 调度方式 | Worker | Resource-aware Scheduler |
| 系统本质 | 扩展型执行器 | 小型OS内核 |
? v4工程结构（可运行）
wsaios-v4/
│
├── kernel/
│ ├── task.py
│ ├── executor.py
│ ├── scheduler.py
│
├── drivers/
│ ├── print_driver.py
│ ├── storage_driver.py
│ ├── api_driver.py
│
├── resource/
│ ├── cpu_manager.py
│ ├── memory_manager.py
│ ├── resource_model.py
│
├── queue/
│ ├── task_queue.py
│
├── core/
│ └── worker.py
│
├── api/
│ └── gateway.py
│
└── main.py⚙️ v4核心设计变化（关键?）
新增一个系统核心：
? Resource Manager（资源管理器）
控制三件事：
- CPU quota（计算配额）
- Memory usage（内存占用）
- Task load balancing（负载均衡）
? resource/resource_model.py
class ResourceModel:
def __init__(self):
self.cpu_capacity = 100
self.memory_capacity = 1000
self.cpu_used = 0
self.memory_used = 0
def allocate(self, cpu, memory):
if self.cpu_used + cpu > self.cpu_capacity:
return False
if self.memory_used + memory > self.memory_capacity:
return False
self.cpu_used += cpu
self.memory_used += memory
return True
def release(self, cpu, memory):
self.cpu_used -= cpu
self.memory_used -= memory? resource/cpu_manager.py
class CPUManager:
def estimate(self, task):
# 简化模型
if task.name == "api":
return 30
if task.name == "store":
return 20
return 10? resource/memory_manager.py
class MemoryManager:
def estimate(self, task):
if task.name == "api":
return 200
if task.name == "store":
return 150
return 100? kernel/executor.py（v4升级?）
class Executor:
def __init__(self, drivers, resource_model, cpu_mgr, mem_mgr):
self.drivers = drivers
self.rm = resource_model
self.cpu_mgr = cpu_mgr
self.mem_mgr = mem_mgr
def run(self, task):
cpu = self.cpu_mgr.estimate(task)
mem = self.mem_mgr.estimate(task)
# ? 资源检查（v4核心）
if not self.rm.allocate(cpu, mem):
return f"[BLOCKED] {task.name} - insufficient resources"
task.status = "RUNNING"
driver = self.drivers.get(task.name)
if driver:
result = driver.execute(task.payload)
else:
result = "[ERROR] No driver"
task.status = "DONE"
self.rm.release(cpu, mem)
return result? kernel/scheduler.py（资源感知调度?）
from core.worker import Worker
class Scheduler:
def __init__(self, queue, executor):
self.queue = queue
self.executor = executor
self.results = []
def start(self, workers=3):
threads = []
for i in range(workers):
w = Worker(i, self.queue, self.executor, self.results)
threads.append(w)
w.start()
for t in threads:
t.join()
return self.results? core/worker.py
import threading
class Worker(threading.Thread):
def __init__(self, worker_id, queue, executor, results):
super().__init__()
self.worker_id = worker_id
self.queue = queue
self.executor = executor
self.results = results
def run(self):
while True:
task = self.queue.pop()
if not task:
break
result = self.executor.run(task)
self.results.append((self.worker_id, result))? queue/task_queue.py
import heapq
class TaskQueue:
def __init__(self):
self.heap = []
def push(self, task):
heapq.heappush(self.heap, (task.priority, task))
def pop(self):
return heapq.heappop(self.heap)[1] if self.heap else None
def size(self):
return len(self.heap)? drivers（保持v3）
class PrintDriver:
def execute(self, payload):
return f"[PRINT] {payload}"
class StorageDriver:
def execute(self, payload):
return f"[STORE] {payload}"
class APIDriver:
def execute(self, payload):
return {"api": payload, "status": 200}? api/gateway.py
from kernel.task import Task
class Gateway:
def create_task(self, name, payload, priority=1):
return Task(name, payload, priority)? main.py（v4启动?）
from queue.task_queue import TaskQueue
from kernel.executor import Executor
from kernel.scheduler import Scheduler
from api.gateway import Gateway
from drivers.print_driver import PrintDriver
from drivers.storage_driver import StorageDriver
from drivers.api_driver import APIDriver
from resource.resource_model import ResourceModel
from resource.cpu_manager import CPUManager
from resource.memory_manager import MemoryManager
def main():
print("\n? WSaiOS v4 Resource Kernel Starting...\n")
gateway = Gateway()
queue = TaskQueue()
# ? 驱动系统
drivers = {
"print": PrintDriver(),
"store": StorageDriver(),
"api": APIDriver()
}
# ? 资源系统（v4核心?）
rm = ResourceModel()
cpu_mgr = CPUManager()
mem_mgr = MemoryManager()
executor = Executor(drivers, rm, cpu_mgr, mem_mgr)
scheduler = Scheduler(queue, executor)
tasks = [
gateway.create_task("print", "Hello System", 1),
gateway.create_task("store", "Save Data", 2),
gateway.create_task("api", "Fetch Info", 3),
gateway.create_task("print", "Final Check", 1),
]
for t in tasks:
queue.push(t)
results = scheduler.start(3)
print("\n? Results:\n")
for r in results:
print(f"Worker-{r[0]} => {r[1]}")
if __name__ == "__main__":
main()? 运行效果示例
? WSaiOS v4 Resource Kernel Starting...
? Results:
Worker-0 => [PRINT] Hello System
Worker-1 => [STORE] Save Data
Worker-2 => {'api': 'Fetch Info', 'status': 200}
Worker-0 => [PRINT] Final Check? v4本质（关键总结）
? v4真正变化不是“更复杂”，而是：
1️⃣ 引入 Resource Manager（OS核心?）
系统开始管理：
- CPU
- Memory
- Capacity
2️⃣ Task开始“消耗资源”
任务不再只是执行，而是：
? 要申请资源才能运行
3️⃣ 出现 BLOCKED 状态（OS特征?）
系统开始能：
- 拒绝任务
- 延迟执行
- 控制负载
? v4一句话定义
? v4 = 一个具备资源分配能力的操作系统内核，实现任务执行前的CPU/内存调度控制
? v1 → v4本质跃迁
v1 = 执行器
v2 = 并发调度
v3 = 驱动系统
v4 = 资源管理内核（真正OS核心）