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>

scholarly journals Pricing and Unresponsive Flows Purging for Global Rate Enhancement

2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
G. Abbas ◽  
A. K. Nagar ◽  
H. Tawfik ◽  
J. Y. Goulermas
Keyword(s):  
Early Detection ◽  
Active Queue Management ◽  
Low Complexity ◽  
Rate Allocation ◽  
Queue Management ◽  
Random Early Detection ◽  
Rate Enhancement ◽  
Global Rate ◽  
High Utilization ◽  
Unresponsive Flows

Pricing-based Active Queue Management (AQM), such as Random Exponential Marking (REM), outperforms other probabilistic counterpart techniques, like Random Early Detection (RED), in terms of both high utilization and negligible loss and delay. However, the pricing-based protocols do not take account of unresponsive flows that can significantly alter the subsequent rate allocation. This letter presents Purge (Pricing and Un-Responsive flows purging for Global rate Enhancement) that extends the REM framework to regulate unresponsive flows. We show that Purge is effective at providing fairness and requires small memory and low-complexity operations.

scholarly journals An Exponential Active Queue Management Method Based on Random Early Detection

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Hussein Abdel-Jaber
Keyword(s):  
Early Detection ◽  
Performance Metrics ◽  
Active Queue Management ◽  
Queue Management ◽  
Random Early Detection ◽  
Evaluation Performance ◽  
Queuing Delay ◽  
Packet Dropping ◽  
Dropping Probability ◽  
Évaluation Performance

Congestion is a key topic in computer networks that has been studied extensively by scholars due to its direct impact on a network’s performance. One of the extensively investigated congestion control techniques is random early detection (RED). To sustain RED’s performance to obtain the desired results, scholars usually tune the input parameters, especially the maximum packet dropping probability, into specific value(s). Unfortunately, setting up this parameter into these values leads to good, yet biased, performance results. In this paper, the RED-Exponential Technique (RED_E) is proposed to deal with this issue by dropping arriving packets in an exponential manner without utilizing the maximum packet dropping probability. Simulation tests aiming to contrast E_RED with other Active Queue Management (AQM) methods were conducted using different evaluation performance metrics including mean queue length (mql), throughput (T), average queuing delay (D), overflow packet loss probability (PL), and packet dropping probability (DP). The reported results showed that E_RED offered a marginally higher satisfactory performance with reference to mql and D than that found in common AQM methods in cases of heavy congestion. Moreover, RED_E compares well with the considered AQM methods with reference to the above evaluation performance measures using minimum threshold position (min threshold) at a router buffer.

scholarly journals Application of active queue management for real-time adaptive video streaming

2021 ◽  
Author(s):  
Wladimir Gonçalves de Morais ◽  
Carlos Eduardo Maffini Santos ◽  
Carlos Marcelo Pedroso
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Active Queue Management ◽  
Queue Management ◽  
Adaptive Video Streaming ◽  
Adaptive Video

scholarly journals STUDI ANALISIS EFEK PERBEDAAN LOKASI TERHADAP PERFORMANSI VIDEO STREAMING PADA JARINGAN W-LAN INDOSAT

2013 ◽  
Vol 4 (1) ◽  
Author(s):  
Said Atamimi
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Packet Loss ◽  
Wireless Lan ◽  
Loss Ratio ◽  
Packet Loss Ratio ◽  
Delay Jitter ◽  
User Coverage

Video streaming adalah aplikasi yang dapat melayani kebutuhan user akan data yang bersifat real time. Dengan adanya teknologi wireless LAN, user akan semakin dimudahkan dalam mengakses informasi seperti video streaming kapan saja dan di lokasi mana saja.Penelitian ini ditujukan agar dapat memperlihatkan hasil video streaming dari beberapa lokasi dalam lingkungan kantor Indosat. Dalam percobaan ini menggunakan beberapa perangkat antara lain satu buah server streaming, satu klien yang menggunakan laptop dan AP yang memang sudah ada dalam jaringan LAN Indosat serta skenario lokasi yang telah ditentukan sebagai tempat pengambilan data. Kemudian dilanjutkan pada tahap pengamatan sistem dengan melakukan peng-capture-an paket untuk mendapatkan data berupa throughput, delay, jitter, dan packet loss ratio dari tiap-tiap lokasi yang telah ditentukan.Hasil Penelitian ini, dengan adanya perbedaan lokasi mengakibatkan perbedaan dari kualitas video streaming berdasarkan parameter- parameter yang telah didapat pada percobaan.Kata Kunci : video streaming, wireless LAN, user, coverage

scholarly journals Can Multipath TCP Be Robust to Cyber Attacks? A Measuring Study of MPTCP with Active Queue Management Algorithms

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yuanlong Cao ◽  
Ruiwen Ji ◽  
Lejun Ji ◽  
Mengshuang Bao ◽  
Lei Tao ◽  
...  
Keyword(s):  
Packet Loss ◽  
Loss Rate ◽  
Active Queue Management ◽  
Cyber Attacks ◽  
Packet Loss Rate ◽  
Queue Management ◽  
Transmission Performance ◽  
Management Algorithm ◽  
Multipath Tcp ◽  
Management Algorithms

With the development of social networks, more and more mobile social network devices have multiple interfaces. Multipath TCP (MPTCP), as an emerging transmission protocol, can fit multiple link bandwidths to improve data transmission performance and improve user experience quality. At the same time, due to the large-scale deployment and application of emerging technologies such as the Internet of Things and cloud computing, cyber attacks against MPTCP have gradually increased. More and more network security research studies point out that low-rate distributed denial of service (LDDoS) attacks are relatively popular and difficult to detect and are recognized as one of the most severe threats to network services. This article introduces six classic queue management algorithms: DropTail, RED, FRED, REM, BLUE, and FQ. In a multihomed network environment, we perform the performance evaluation of MPTCP under LDDoS attacks in terms of throughput, delay, and packet loss rate when using the six algorithms, respectively, by simulations. The results show that in an MPTCP-enabled multihomed network, different queue management algorithms have different throughput, delay, and packet loss rate performance when subjected to LDDoS attacks. Considering these three performance indicators comprehensively, the FRED algorithm has better performance. By adopting an effective active queue management (AQM) algorithm, the MPTCP transmission system can enhance its robustness capability, thus improving transmission performance. We suggest that when designing and improving the queue management algorithm, the antiattack performance of the algorithm should be considered: (1) it can adjust the traffic speed by optimizing the congestion control mechanism; (2) the fairness of different types of data streams sharing bandwidth is taken into consideration; and (3) it has the ability to adjust the parameters of the queue management algorithm in a timely and accurate manner.

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

10.28945/856 ◽  
2005 ◽  
Vol 2 ◽  
pp. 623-636
Author(s):  
Adeniyi Akintola ◽  
G. Adesola Aderounmu ◽  
Luckman A. Akanbi ◽  
Michael Adigun
Keyword(s):  
Performance Analysis ◽  
Early Detection ◽  
Congestion Avoidance ◽  
Random Early Detection ◽  
And Performance
Sign in / Sign up

Export Citation Format

Share Document