DocumentCode :
1701417
Title :
Network supported congestion avoidance in software-defined networks
Author :
Gruen, Jochen ; Karl, Maximilian ; Herfet, T.
Author_Institution :
Telecommun. Lab., Saarland Univ., Saarbrucken, Germany
fYear :
2013
Firstpage :
1
Lastpage :
6
Abstract :
Large IP networks tend to have a highly heterogeneous structure with many different transmission segments, each endowed with individual characteristics like data rate or delay. Obviously, applications find it difficult to precisely adjust their sending behavior to the underlying topology. Basically, a higher network utilization without congestion is desirable. Server applications demand for reliable information about the available data rate in the network in order to provide a sufficient quality to the clients. Traditionally, this information is completely gathered by source and sink without interaction with the network infrastructure. The rise of software-defined networks (SDNs) enables the integration of the network into this process. In this paper we propose a rate control mechanism for software-defined networks to avoid congestion situations. The approach enables clients to communicate with the network to bidirectionally exchange information about available and occupied data rate. We found that this customized communication approach enables better network load distribution and application transmission reaction - which can be easily implemented with SDNs. Ultimately, the controller finds an efficient forwarding path in the network and the clients have a reliable upper bound for their sending data rate.
Keywords :
IP networks; telecommunication congestion control; telecommunication network topology; IP networks; SDN; application transmission reaction; customized communication approach; data rate; delay; heterogeneous structure; network load distribution; network supported congestion avoidance; rate control mechanism; software-defined networks; topology; transmission segments; IP networks; Optimization; Protocols; Reliability; Resource management; Streaming media; Subscriptions; Congestion Avoidance; Rate Control; Software-Defined Networking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks (ICON), 2013 19th IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-2083-9
Type :
conf
DOI :
10.1109/ICON.2013.6781970
Filename :
6781970
Link To Document :
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