概念定义
两个握手参数主导批量吞吐。MSS 决定每段最大数据量,由路径 MTU 减去头部推导;窗口缩放是握手选项,把 16 位窗口字段按因子放大,使数 MB 的带宽时延积得以通告。没有缩放时,百兆带宽配 50 毫秒往返的路径根本填不满。
工作机制
两端基于各自 MTU 通告 MSS,中间盒可能改写以强制更小分段。缩放因子在 SYN 中发送一次,最多左移 14 位。接收缓冲区必须真的按结果窗口配置,否则内核把吞吐限制为缓冲区大小除以往返时延。
使用场景
跨区域备份、复制与大对象传输在实践中都是 MSS 与窗口问题。云主机默认缓冲常偏保守,容器网络会悄悄加封装开销触发钳制。应把有效吞吐与理论带宽时延积对比来发现缺口。
常见误区
封装会缩小有效 MSS:端点不计算隧道头时数据包会分片或黑洞丢弃。部分路径丢弃 TCP 选项,退化成无缩放。调大缓冲只帮到发送端拥塞窗口或应用写模式成为限制之前;把吞吐问题当带宽问题诊断是常见弯路。
代码示例
@keyframes fadeIn {
from { opacity: 0; transform: translateY(20px); }
to { opacity: 1; transform: translateY(0); }
}
.animate-fade {
animation: fadeIn 0.3s ease-out forwards;
}
@keyframes pulse {
0%, 100% { transform: scale(1); }
50% { transform: scale(1.05); }
}
class CacheNode<K, V> {
public previous: CacheNode<K, V> | null = null;
public next: CacheNode<K, V> | null = null;
public constructor(
public readonly key: K,
public value: V,
public frequency: number,
) {}
}
class FrequencyList<K, V> {
private head: CacheNode<K, V> | null = null;
private tail: CacheNode<K, V> | null = null;
public size = 0;
public addFront(node: CacheNode<K, V>): void {
node.previous = null;
node.next = this.head;
if (this.head !== null) this.head.previous = node;
this.head = node;
if (this.tail === null) this.tail = node;
this.size += 1;
}
public remove(node: CacheNode<K, V>): void {
if (node.previous !== null) node.previous.next = node.next;
else this.head = node.next;
if (node.next !== null) node.next.previous = node.previous;
else this.tail = node.previous;
node.previous = null;
node.next = null;
this.size -= 1;
}
public removeLast(): CacheNode<K, V> | null {
if (this.tail === null) return null;
const node = this.tail;
this.remove(node);
return node;
}
}
export class LfuCache<K, V> {
private readonly entries = new Map<K, CacheNode<K, V>>();
private readonly frequencies = new Map<number, FrequencyList<K, V>>();
private lowestFrequency = 0;
public constructor(private readonly capacity: number) {
if (!Number.isInteger(capacity) || capacity < 1) {
throw new RangeError("capacity must be a positive integer");
}
}
public get size(): number {
return this.entries.size;
}
public get(key: K): V | undefined {
const node = this.entries.get(key);
if (node === undefined) return undefined;
this.touch(node);
return node.value;
}
public peek(key: K): V | undefined {
return this.entries.get(key)?.value;
}
public put(key: K, value: V): this {
const existing = this.entries.get(key);
if (existing !== undefined) {
existing.value = value;
this.touch(existing);
return this;
}
if (this.entries.size >= this.capacity) this.evict();
const node = new CacheNode(key, value, 1);
this.entries.set(key, node);
this.listFor(1).addFront(node);
this.lowestFrequency = 1;
return this;
}
public delete(key: K): boolean {
const node = this.entries.get(key);
if (node === undefined) return false;
this.removeNode(node);
return true;
}
private touch(node: CacheNode<K, V>): void {
const oldFrequency = node.frequency;
const oldList = this.frequencies.get(oldFrequency);
if (oldList === undefined) {
throw new Error("cache invariant violated");
}
oldList.remove(node);
if (oldList.size === 0) {
this.frequencies.delete(oldFrequency);
if (this.lowestFrequency === oldFrequency) {
this.lowestFrequency = oldFrequency + 1;
}
}
node.frequency = oldFrequency + 1;
this.listFor(node.frequency).addFront(node);
}
private evict(): void {
const list = this.frequencies.get(this.lowestFrequency);
if (list === undefined) return;
const node = list.removeLast();
if (node === null) return;
this.entries.delete(node.key);
if (list.size === 0) this.frequencies.delete(this.lowestFrequency);
}
private removeNode(node: CacheNode<K, V>): void {
const list = this.frequencies.get(node.frequency);
if (list === undefined) {
throw new Error("cache invariant violated");
}
list.remove(node);
this.entries.delete(node.key);
if (list.size === 0) this.frequencies.delete(node.frequency);
}
private listFor(frequency: number): FrequencyList<K, V> {
let list = this.frequencies.get(frequency);
if (list === undefined) {
list = new FrequencyList<K, V>();
this.frequencies.set(frequency, list);
}
return list;
}
}
const cache = new LfuCache<string, number>(2);
cache.put("a", 1).put("b", 2);
console.log(cache.get("a"));
cache.put("c", 3);
console.log(cache.get("b"), cache.peek("a"), cache.get("c"));
cache.put("d", 4);
console.log(cache.get("a"), cache.get("c"), cache.get("d"));
console.log(cache.size);