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On selfish routing in internet-like environments
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Source Applications, Technologies, Architectures, and Protocols for Computer Communication archive
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications table of contents
Karlsruhe, Germany
SESSION: Overlays table of contents
Pages: 151 - 162  
Year of Publication: 2003
ISBN:1-58113-735-4
Authors
Lili Qiu  Microsoft Research
Yang Richard Yang  Yale University
Yin Zhang  AT&T Labs -- Research
Scott Shenker  ICSI
Sponsors
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
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ABSTRACT

A recent trend in routing research is to avoid inefficiencies in network-level routing by allowing hosts to either choose routes themselves (e.g., source routing) or use overlay routing networks (e.g., Detour or RON). Such approaches result in selfish routing, because routing decisions are no longer based on system-wide criteria but are instead designed to optimize host-based or overlay-based metrics. A series of theoretical results showing that selfish routing can result in suboptimal system behavior have cast doubts on this approach. In this paper, we use a game-theoretic approach to investigate the performance of selfish routing in Internet-like environments. We focus on intra-domain network environments and use realistic topologies and traffic demands in our simulations. We show that in contrast to theoretical worst cases, selfish routing achieves close to optimal average latency in such environments. However, such performance benefit comes at the expense of significantly increased congestion on certain links. Moreover, the adaptive nature of selfish overlays can significantly reduce the effectiveness of traffic engineering by making network traffic less predictable.


REFERENCES

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CITED BY  37
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Lili Qiu: colleagues
Yang Richard Yang: colleagues
Yin Zhang: colleagues
Scott Shenker: colleagues

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