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RISS 인기검색어
- 검색키워드
- 저자 : Jaideep Chandrashekar (검색결과 3 건)
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Principal Component Analysis of BGP Update Streams
Xu, Kuai,Chandrashekar, Jaideep,Zhang, Zhi-Li The Korea Institute of Information and Commucation 2010 Journal of communications and networks Vol.12 No.2
In this paper, we propose a novel methodology to identify border gateway protocol (BGP) updates associated with major events - affecting network reachability to multiple ASes - and separate them (statistically) from those attributable to minor events, which individually generate few updates, but collectively form the persistent background noise observed at BGP vantage points. Our methodology is based on principal component analysis, which enables us to transform and reduce the BGP updates into different AS clusters that are likely affected by distinct major events. We demonstrate the accuracy and effectiveness of our methodology through simulations and real BGP data.
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Duan, Zhenhai,Chandrashekar, Jaideep,Krasky, Jeffrey,Xu, Kuai,Zhang, Zhi-Li The Korea Institute of Information and Commucation 2007 Journal of communications and networks Vol.9 No.4
BGP route flap damping(RFD) was anecdotally considered to be a key contributor to the stability of the global Internet inter-domain routing system. However, it was recently shown that RFD can incorrectly suppress for substantially long periods of time relatively stable routes, i.e., routes that only fail occasionally. This phenomenon can be attributed to the complex interaction between BGP path exploration and how the RFD algorithm identifies route flaps. In this paper we identify a distinct characteristic of BGP path exploration following a single network event such as a link or router failure. Based on this characteristic, we distinguish BGP route updates during BGP path exploration from route flaps and propose a novel BGP route flap damping algorithm, RFD+. RFD+ has a number of attractive properties in improving Internet routing stability. In particular, it can correctly suppress persistent route flaps without affecting routes that only fail occasionally. In addition to presenting the new algorithm and analyzing its properties, we also perform simulation studies to illustrate the performance of the algorithm.
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Principal Component Analysis of BGP Update Streams
Kuai Xu,Jaideep Chandrashekar,Zhi-Li Zhang 한국통신학회 2010 Journal of communications and networks Vol.12 No.2
In this paper, we propose a novel methodology to identify border gateway protocol (BGP) updates associated with major events—affecting network reachability to multiple ASes—and separate them (statistically) from those attributable to minor events,which individually generate few updates, but collectively form the persistent background noise observed at BGP vantage points. Our methodology is based on principal component analysis, which enables us to transform and reduce the BGP updates into different AS clusters that are likely affected by distinct major events. We demonstrate the accuracy and effectiveness of our methodology through simulations and real BGP data.
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