The Scheme of Highest-Rate-Flow Early Discard for Buffer Management

WEN Shu-shan; LI Le-min; SUN Hai-rong

您当前的位置：

首页 >

文章列表页 >

The Scheme of Highest-Rate-Flow Early Discard for Buffer Management

更新时间：2025-07-16

- The Scheme of Highest-Rate-Flow Early Discard for Buffer Management
- Acta Electronica Sinica Vol. 30, Issue 10, Pages: 1455-1458(2002)
- 作者机构：
  
  电子科技大学宽带光纤传输与通信系统技术国家重点实验室,四川,成都,610054
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.07
- Published：2002
- 稿件说明：
移动端阅览
WEN Shu-shan, LI Le-min, SUN Hai-rong. The Scheme of Highest-Rate-Flow Early Discard for Buffer Management[J]. Acta Electronica Sinica, 2002, 30(10): 1455-1458.
DOI：

WEN Shu-shan, LI Le-min, SUN Hai-rong. The Scheme of Highest-Rate-Flow Early Discard for Buffer Management[J]. Acta Electronica Sinica, 2002, 30(10): 1455-1458. DOI：

摘要

为了提高Internet在分组转发时对TCP的公平性

本文提出一种用于缓存管理的最高速流早期丢弃策略

简称HRFED

并研究了它与FCFS和FQ调度算法结合时的性能.本文用解析方法证明HRFED可以用EWMA加权系数控制突发业务成为最高速流的容限

又用多个仿真实验

证明HRFED可以在保持较高的链路利用率的同时

获得比LQD、RED和TD更好的公平性

并维持比LQD和TD更短的平均排队等待时间.

Abstract

In order to enhance the fairness to TCP when packets are forwarded in the Internet

this paper presents the scheme of Highest-Rate-Flow Early Discard (HRFED) for buffer management

and researches its performance combined with FCFS and FQ scheduling algorithms.The EWMA weight in HRFED is proved analytically to control the margin of bursty traffic that will become highest-rate flow.By simulations based on different network scenarios

HRFED is proved to get better fairness than LQD

RED and TD(Tail drop)

and to maintain shorter average waiting time in the queue

as well as to keep high link utilization.

关键词

Keywords

references

Views

787

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fairness in Trustworthy Federated Learning: A Survey

Fair Computation Offloading for a Multi-Antenna NOMA Aided Mobile Edge Computing Network

Fair Provable Data Possession Scheme Based on Blockchain

Self-Supervised Learning for Alleviating Popularity Bias in Recommender Systems

A Survey of Scheduling Mechanisms for Programmable Data Plane in Data Center

Related Author

CHEN Hao-yu

LI Yi-dong

ZHANG Hong-lei

CHEN Nai-yue

ZENG Sheng

HUANG Xiao-hong

LI Dan-dan

YU Wei-jun

Related Institution

School of Computer and Information Technology，Beijing Jiaotong University

Key Laboratory of Big Data & Artificial Intelligence in Transportation， Ministry of Education

School of Computer Science（National Pilot Software Engineering School）， Beijing University of Posts and Telecommunications

Office of Party and Government Affairs， Torch Hi-tech Industrial Development Zone

Department of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications

⁰