边缘计算架构

边缘计算模型

边缘计算将数据处理从中心云下沉到靠近用户的边缘节点，降低延迟和带宽消耗。

┌─────────────────────────────────────────────┐
│              云-边-端架构                    │
├─────────────┬─────────────┬─────────────────┤
│    云中心    │   边缘层    │    终端层       │
├─────────────┼─────────────┼─────────────────┤
│  全局调度   │  区域计算   │   设备端推理    │
│  大数据分析 │  缓存加速   │   数据采集      │
│  模型训练   │  协议转换   │   本地决策      │
└─────────────┴─────────────┴─────────────────┘

CDN边缘计算

// Cloudflare Workers边缘计算
addEventListener('fetch', event => {
    event.respondWith(handleRequest(event));
});

async function handleRequest(event) {
    const url = new URL(event.request.url);
    
    // 边缘缓存
    const cache = caches.default;
    let response = await cache.match(event.request);
    
    if (!response) {
        // 边缘逻辑处理
        if (url.pathname.startsWith('/api/')) {
            response = await handleAPI(event);
        } else {
            response = await fetch(event.request);
        }
        
        // 缓存响应
        event.waitUntil(cache.put(event.request, response.clone()));
    }
    
    return response;
}

边缘Kubernetes

# K3s轻量级K8s
# 安装K3s
curl -sfL https://get.k3s.io | sh -

# 边缘节点配置
apiVersion: node.k8s.io/v1
kind: RuntimeClass
metadata:
  name: edge
handler: kata-containers
overhead:
  podFixed:
    memory: "160Mi"
    cpu: "250m"

边缘AI推理

# TensorFlow Lite边缘推理
import tensorflow as tf
import numpy as np

class EdgeInference:
    def __init__(self, model_path):
        self.interpreter = tf.lite.Interpreter(model_path=model_path)
        self.interpreter.allocate_tensors()
    
    def predict(self, input_data):
        input_details = self.interpreter.get_input_details()
        output_details = self.interpreter.get_output_details()
        
        self.interpreter.set_tensor(
            input_details[0]['index'], 
            input_data
        )
        self.interpreter.invoke()
        
        return self.interpreter.get_tensor(output_details[0]['index'])

边缘存储策略

# 边缘缓存配置
edgeStorage:
  localCache:
    maxSize: 1GB
    evictionPolicy: LRU
    ttl: 3600
  distributedCache:
    type: Redis
    cluster: edge-cluster-01
    replication: 2
  syncStrategy:
    mode: eventual
    interval: 30s
    conflictResolution: lastWriterWins

边缘安全

# mTLS边缘认证
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
  name: edge-auth
  namespace: edge
spec:
  mtls:
    mode: STRICT
---
# 边缘网络策略
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: edge-restrict
spec:
  podSelector:
    matchLabels:
      app: edge-service
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - namespaceSelector:
        matchLabels:
          name: cloud-center