A Comprehensive Performance Analysis of Random Early Detection Mechanism

2004 ◽  
Vol 25 (1/2) ◽  
pp. 9-31 ◽  
Author(s):  
Tuan Anh Trinh ◽  
Sándor Molnár
Keyword(s):  
Performance Analysis ◽  
Early Detection ◽  
Random Early Detection ◽  
Detection Mechanism ◽  
Comprehensive Performance

scholarly journals Active Queue Management (AQM) Performance Analysis Based On Controled Delay (CoDel) Against Bufferbloat On Real-Time Aplication

2017 ◽  
Vol 2 (1) ◽  
pp. 119
Author(s):  
Muhammad Noer Iskandar
Keyword(s):  
Performance Analysis ◽  
Early Detection ◽  
Real Time ◽  
Video Streaming ◽  
Packet Loss ◽  
Active Queue Management ◽  
Queue Management ◽  
Random Early Detection

<span><em>Bufferbloat </em><span>merupakan salah satu kondisi buffer dengan ukuran besar yang cenderung<br /><span>selalu penuh dan menyebabkan antrian panjang didalam buffer, jika hal ini terjadi secara<br /><span>terus-menerus maka dapat menyebabkan jeda transmisi yang tinggi. <span><em>Bufferbloat </em><span>sering<br /><span>terjadi pada aplikasi berbasis real-time. <span><em>Active Queue Management </em><span>(AQM) merupakan<br /><span>salah satu cara untuk menangani terjadinya <span><em>bufferbloat., </em><span>AQM umumnya menggunakan<br /><span>algoritma Drop Tail untuk menangani kondisi antrian panjang dalam buffer router di<br /><span>jaringan. Namun demikian, performansi AQM berbasis Drop Tail kurang dapat<br /><span>diandalkan karena jeda transmisi dalam keadaan <span><em>bufferbloat </em><span>masih tinggi. Telah banyak<br /><span>studi dilakukan untuk menangani <span><em>bufferbloat</em><span>, seperti Drop Tail, Random Early Detection<br /><span>(RED) dan Controlled Delay (CoDel). Dari riset yang telah dilakukan tersebut masih sulit<br /><span>ditemukan performasi algoritma terbaik dalam menangani <span><em>bufferbloat</em><span>. Untuk hal tersebut,<br /><span>paper ini menyajikan studi performansi penanganan bufferbloat menggunakan ketiga<br /><span>algoritma diatas. Dalam studi ini, video streaming digunakan sebagai <span><em>traffic </em><span>uji untuk<br /><span>menentukan performansi algoritma terbaik dalam mengatasi <span><em>bufferbloat</em><span>. Sedangkan<br /><span>metriks uji yang digunakan dalam riset ini adalah <span><em>latency</em><span>, <span><em>throughput </em><span>dan <span><em>packet-loss</em><span>.<br /><span>Analisa hasil pengujian mengambil 3 hasil terbaik dalam setiap percobaan. Hasil<br /><span>pengujian menunjukan performansi algoritma CoDel jauh lebih baik dalam menangani<br /><span><em>latency </em><span>yang tinggi pada kondisi bufferbloat dibandingkan RED dan Drop Tail. Namun<br /><span>untuk <span><em>packet-loss </em><span>dan <span><em>throughput </em><span>performansi RED dan Drop Tail masih unggul<br /><span>dibanding algoritma CoDel</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><br /></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span>

Per-stream loss behavior of ∑MAP/M/1/K queuing system with a random early detection mechanism

2009 ◽  
Vol 179 (22) ◽  
pp. 3893-3907 ◽  
Author(s):  
Yung-Chung Wang ◽  
Chwan-Lu Tseng ◽  
Ren-Guey Chu ◽  
Fu-Hsiang Tsai
Keyword(s):  
Early Detection ◽  
Queuing System ◽  
Random Early Detection ◽  
Detection Mechanism

scholarly journals Modeling and Performance Analysis of Dynamic Random Early Detection (DRED) Gateway for Congestion Avoidance

10.28945/2920 ◽  
2005 ◽  
Author(s):  
A. A. Akintola ◽  
G. A. Aderounmu ◽  
L. A. Akanbi ◽  
M. O. Adigun
Keyword(s):  
Performance Analysis ◽  
Early Detection ◽  
Early Response ◽  
Congestion Avoidance ◽  
The Internet ◽  
Random Early Detection ◽  
Queue Size ◽  
Global Synchronization ◽  
Improved Performance ◽  
And Performance

One of the most prominent congestion avoidance schemes in the Internet architecture is the Random Early Detection (RED) algorithm. Several modifications and enhancements have been made to the original RED so as to make it more responsive to congestion avoidance at the gateways. In this paper, we introduced the Dynamic Random Early Detection (DRED) model, which uses a newly introduced parameter i.e. warning line. A robust and efficacious technique to measure the burstiness of incoming traffic has been developed and tested. This involves the estimation of the average queue size, avg, which is dynamically adjusted hence the name of our scheme. The empirical results obtained from the simulations show that our DRED scheme responds early enough to the increased number of packets at the gateway. Also, the maximum drop probability of packets show improved performance over the original RED. It was concluded that our scheme demonstrated superiority by avoiding global synchronization and there is great reduction in the fluctuations of the actual queue size. Also, its early response avoids buffer overflow at the gateways when the queue is near full.

scholarly journals Comprehensive Performance Analysis of a VCSEL-based Photonic Reservoir Computer

2021 ◽  
pp. 1-1
Author(s):  
Julian Bueno ◽  
Joshua Robertson ◽  
Matej Hejda ◽  
Antonio Hurtado
Keyword(s):  
Performance Analysis ◽  
Comprehensive Performance
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