20062006 SICE-ICASE International Joint ConferenceRequires access

Refined Adaptive RED in TCP/IP Networks

Taehoon Kim, Kee-hyun Lee

Open publisher page 15 citations

Abstract

Active queue management (AQM) refers to a family of packet dropping mechanisms for router queues that has been proposed to support end-to-end congestion control mechanisms in the Internet. The proposed AQM algorithm by the IETF is random early detection (RED). The RED algorithm allows network operators simultaneously to achieve high throughput and low average delay. However, the resulting average queue length is quite sensitive to the level of congestion. In this paper, we propose the refined adaptive RED (RARED), as a solution for reducing the sensitivity to parameters that affect RED performance. Based on simulations, we observe that the RARED scheme improves overall performance of the network. In particular, the RARED scheme reduces packet drop rate and improves goodput

About this research paper

What this paper is about

Active queue management (AQM) refers to a family of packet dropping mechanisms for router queues that has been proposed to support end-to-end congestion control mechanisms in the Internet. The proposed AQM algorithm by the IETF is random early detection (RED). The RED algorithm allows network operators simultaneously to achieve high throughput and low average delay. However, the resulting average queue length is quite sensitive to the level of congestion. In this paper, we propose the refined adaptive RED (RARED), as a solution for reducing the sensitivity to parameters that affect RED performance. Based on simulations, we observe that the RARED scheme improves overall performance of the network. In particular, the RARED scheme reduces packet drop rate and improves goodput

Why it matters

OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Active queue management (AQM) refers to a family of packet dropping mechanisms for router queues that has been proposed to support end-to-end congestion control mechanisms in the Internet. The proposed AQM algorithm by the IETF is random early detection (RED). The RED algorithm allows network operators simultaneously to achieve high throughput and low average delay. However, the resulting average queue length is quite sensitive to the level of congestion. In this paper, we propose the refined adaptive RED (RARED), as a solution for reducing the sensitivity to parameters that affect RED performance. Based on simulations, we observe that the RARED scheme improves overall performance of the network. In particular, the RARED scheme reduces packet drop rate and improves goodput

Key concepts: Random early detection, Goodput, Active queue management, Computer science, Computer network, Network congestion, Network packet, Queue

Related papers

Back to paper searchBrowse research topicsOriginal source
Refined Adaptive RED in TCP/IP Networks — Research Paper | ScholarLens