DocumentCode
466856
Title
LQRD: An Improved ECN Algorithm
Author
Lai, Jun ; Ye, Wu ; Feng, Sui-Li
Author_Institution
South China Univ. of Technol., Guangzhou
Volume
1
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
239
Lastpage
244
Abstract
In this paper the performance of the gateway using ECN (Explicit Congestion Notification) is analyzed firstly. Study shows that the recommendation in the protocol that gateway drops packets when the average queue size exceeds the upper threshold brings too low throughput. However, if it is be substituted for marking packets, which increases average delay and induces parts of fail connections for heavy loads, the throughput will improve greatly. To make sure high throughput, low delay and robust connectivity for long queue length, this paper presents an improved algorithm named LQRD (Long Queue Random Drop). The algorithm drops packets with a certain probability when the average queue size exceeds the upper threshold to limit the increase of queue length. The drop probability is computed according to buffer size, link capacity, average queue length and average queue delay to reflect load changing. Then we analyze the solved model of the LQRD algorithm by using differential equation. And at last, some simulation experiments show the algorithm has good performance.
Keywords
differential equations; internetworking; probability; protocols; queueing theory; differential equation; explicit congestion notification algorithm; gateway drops packet probability; long queue random drop algorithm; protocol recommendation; Algorithm design and analysis; Artificial intelligence; Delay; Electrical capacitance tomography; Internet; Performance analysis; Protocols; Software engineering; TCPIP; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.39
Filename
4287510
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