Comments (3)
所以是不是慢启动策略采用了线性增长,而常规阶段使用近似于对数级增长。
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慢启动阶段是线性增长,超过了ssthresh阈值后kcp->incr += (mss * mss) / kcp->incr + (mss / 16);每16个UNA确认增长一个mss,并且随着kcp->incr越大,增长速度越慢,每次增长区间(mss/16 ~ mss+mss/16],小于线性增长。
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在《计算机网络》谢希仁老师著中,慢启动算法是指数增加,而超过门限值之后,就采用拥塞避免算法,拥塞避免算法在其书中是线性增加的,理论上确实会存在边际效用,当你发送窗口已经很大时,应该谨慎增加,否则冲突时,丢掉的数据就多,影响面更大。
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Related Issues (20)
- 一次性发送1000个1K的包,需要8-10秒左右 HOT 5
- 关于 ikcp_update HOT 1
- Kcp 相比于 srt 或者 quic 的优势是什么,弱网下回有更好的表现吗 HOT 2
- 请问主动丢包有解决方案了么? HOT 4
- > 没看懂,你要主动丢包么?
- 请问大神,之前在下面这个issue里讨论的丢包问题,什么时候能支持一下呢? HOT 4
- 纯 python 版本实现,申请加入开源案例 HOT 2
- 包模式下如果rcvWnd<255 并且分包数量>=rcvWnd,接受端因为接受不到足够的数量组装完整包而卡住.
- 请教一个关于停止ikcp_update的方法
- 这里检测使用的buffer超过mtu就output一次是不是会导致seg分成两段 HOT 7
- 关于ikcp_check实现的疑问
- test.cpp 运行结果不符合预期 HOT 3
- Multiple multi-thread clients, one server HOT 2
- 关于服务端和多客户端的问题 HOT 6
- 关于上行卡顿,下行包流畅的问题 HOT 7
- 实时流应用场景,crash的疑问 HOT 4
- 发送端网络受限 ,接收端网络不好,kcp是否会带来改善? HOT 1
- 为每个kcp设置独立的allocator HOT 1
- 使用check机制并不能使cpu使用率下降 HOT 5
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