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  Greedy Routing and the Algorithmic Small-World Phenomenom

Bringmann, K., Keusch, R., Lengler, J., Maus, Y., & Molla, A. (2016). Greedy Routing and the Algorithmic Small-World Phenomenom. Retrieved from http://arxiv.org/abs/1612.05539.

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 Urheber:
Bringmann, Karl1, Autor                 
Keusch, Ralph2, Autor
Lengler, Johannes1, Autor           
Maus, Yannic2, Autor
Molla, Anisur2, Autor
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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Schlagwörter: cs.SI,Computer Science, Discrete Mathematics, cs.DM,Computer Science, Networking and Internet Architecture, cs.NI,
 Zusammenfassung: The algorithmic small-world phenomenon, empirically established by Milgram's letter forwarding experiments from the 60s, was theoretically explained by Kleinberg in 2000. However, from today's perspective his model has several severe shortcomings that limit the applicability to real-world networks. In order to give a more convincing explanation of the algorithmic small-world phenomenon, we study greedy routing in a more realistic random graph model (geometric inhomogeneous random graphs), which overcomes the previous shortcomings. Apart from exhibiting good properties in theory, it has also been extensively experimentally validated that this model reasonably captures real-world networks. In this model, we show that greedy routing succeeds with constant probability, and in case of success almost surely finds a path that is an almost shortest path. Our results are robust to changes in the model parameters and the routing objective. Moreover, since constant success probability is too low for technical applications, we study natural local patching methods augmenting greedy routing by backtracking and we show that such methods can ensure success probability 1 in a number of steps that is close to the shortest path length. These results also address the question of Krioukov et al. whether there are efficient local routing protocols for the internet graph. There were promising experimental studies, but the question remained unsolved theoretically. Our results give for the first time a rigorous and analytical answer, assuming our random graph model.

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Sprache(n): eng - English
 Datum: 2016-12-162016-12-192016
 Publikationsstatus: Online veröffentlicht
 Seiten: 59 pages, 1 figure
 Ort, Verlag, Ausgabe: -
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 Identifikatoren: arXiv: 1612.05539
URI: http://arxiv.org/abs/1612.05539
BibTex Citekey: BringmannKLMM16
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