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Journal ArticleDOI

Random early detection gateways for congestion avoidance

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TLDR
Red gateways are designed to accompany a transport-layer congestion control protocol such as TCP and have no bias against bursty traffic and avoids the global synchronization of many connections decreasing their window at the same time.
Abstract
The authors present random early detection (RED) gateways for congestion avoidance in packet-switched networks. The gateway detects incipient congestion by computing the average queue size. The gateway could notify connections of congestion either by dropping packets arriving at the gateway or by setting a bit in packet headers. When the average queue size exceeds a present threshold, the gateway drops or marks each arriving packet with a certain probability, where the exact probability is a function of the average queue size. RED gateways keep the average queue size low while allowing occasional bursts of packets in the queue. During congestion, the probability that the gateway notifies a particular connection to reduce its window is roughly proportional to that connection's share of the bandwidth through the gateway. RED gateways are designed to accompany a transport-layer congestion control protocol such as TCP. The RED gateway has no bias against bursty traffic and avoids the global synchronization of many connections decreasing their window at the same time. Simulations of a TCP/IP network are used to illustrate the performance of RED gateways. >

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Journal ArticleDOI

TCP and explicit congestion notification

TL;DR: The first part proposes new guidelines for TCP's response to ECN mechanisms (e.g., Source Quench packets, ECN fields in packet headers) and uses simulations to explore the benefits and drawbacks of ECN in TCP/IP networks.
Proceedings Article

Design tradeoffs for SSD performance

TL;DR: It is found that SSD performance and lifetime is highly workload-sensitive, and that complex systems problems that normally appear higher in the storage stack, or even in distributed systems, are relevant to device firmware.
Journal ArticleDOI

REM: active queue management

TL;DR: A new active queue management scheme, random exponential marking (REM), is described that aims to achieve both high utilization and negligible loss and delay in a simple and scalable manner and presents simulation results of its performance in wireline and wireless networks.
Journal ArticleDOI

Explicit allocation of best-effort packet delivery service

TL;DR: This paper focuses on algorithms for essential components of the "allocated-capacity" framework: a differential dropping algorithm for network routers and a tagging algorithm for profile meters at the edge of the network for bulk-data transfers.
Proceedings ArticleDOI

On designing improved controllers for AQM routers supporting TCP flows

TL;DR: A previously developed linearized model of TCP and active queue management (AQM) is studied, and the proportional integral (PI) controller is shown to outperform RED significantly.
References
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Book ChapterDOI

Probability Inequalities for sums of Bounded Random Variables

TL;DR: In this article, upper bounds for the probability that the sum S of n independent random variables exceeds its mean ES by a positive number nt are derived for certain sums of dependent random variables such as U statistics.
Journal ArticleDOI

Congestion avoidance and control

TL;DR: The measurements and the reports of beta testers suggest that the final product is fairly good at dealing with congested conditions on the Internet, and an algorithm recently developed by Phil Karn of Bell Communications Research is described in a soon-to-be-published RFC.
Book

Forecasting, Structural Time Series Models and the Kalman Filter

TL;DR: In this article, the Kalman filter and state space models were used for univariate structural time series models to estimate, predict, and smoothen the univariate time series model.
Posted Content

Forecasting, Structural Time Series Models and the Kalman Filter

TL;DR: In this paper, the authors provide a unified and comprehensive theory of structural time series models, including a detailed treatment of the Kalman filter for modeling economic and social time series, and address the special problems which the treatment of such series poses.
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