DocumentCode :
3242313
Title :
NATALIE: An Adaptive, Network-Aware Traffic Equalizer
Author :
Yihua He ; Brassil, Jack
Author_Institution :
Univ. of California, Riverside
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
595
Lastpage :
602
Abstract :
The bandwidth of multiple physical communication links can be aggregated with inverse multiplexing to create a single, higher capacity logical communication link. However, achieving the maximum possible aggregated bandwidth becomes challenging as the communication characteristics of the underlying links (e.g., available bandwidth, packet loss rate) change with time. In this paper we introduce NATALIE, a Network-aware traffic equalizer. NATALIE combines an arbitrary set of network interfaces and schedules IP packet transmissions over those interfaces in a weighted round-robin fashion. To achieve the maximum possible throughput, NATALIE measures the communication characteristics of the underlying links and dynamically adjusts its scheduler to assign packets to each link in proportion to its available capacity. We describe NATALIE´S implementation, the test environment we built on the Emulab Network Testbed, and the results of experiments demonstrating NATALIE´S throughput performance for TCP connections over diverse underlying links with cross-traffic.
Keywords :
IP networks; equalisers; multiplexing; network interfaces; telecommunication links; telecommunication traffic; IP packet transmission scheduling; inverse multiplexing; logical communication link; multiple physical communication link; network interface; network-aware traffic equalizer; weighted round-robin fashion; Adaptive systems; Bandwidth; Communications Society; Equalizers; Helium; Out of order; Scheduling algorithm; Telecommunication traffic; Testing; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2007. ICC '07. IEEE International Conference on
Conference_Location :
Glasgow
Print_ISBN :
1-4244-0353-7
Type :
conf
DOI :
10.1109/ICC.2007.103
Filename :
4288774
Link To Document :
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