End-to-End Routing Behavior in the Internet

DMCA

End-to-End Routing Behavior in the Internet (1996)

Cached

Download Links

by Vern Paxson

Citations:

653 - 13 self

BibTeX

@MISC{Paxson96end-to-endrouting,
    author = {Vern Paxson},
    title = { End-to-End Routing Behavior in the Internet},
    year = {1996}
}

OpenURL

Abstract

The large-scale behavior of routing in the Internet has gone virtually without any formal study, the exception being Chinoy's analysis of the dynamics of Internet routing information [Ch93]. We report on an analysis of 40,000 end-to-end route measurements conducted using repeated “traceroutes” between 37 Internet sites. We analyze the routing behavior for pathological conditions, routing stability, and routing symmetry. For pathologies, we characterize the prevalence of routing loops, erroneous routing, infrastructure failures, and temporary outages. We find that the likelihood of encountering a major routing pathology more than doubled between the end of 1994 and the end of 1995, rising from 1.5 % to 3.4%. For routing stability, we define two separate types of stability, “prevalence, ” meaning the overall likelihood that a particular route is encountered, and “persistence, ” the likelihood that a route remains unchanged over a long period of time. We find that Internet paths are heavily dominated by a single prevalent route, but that the time periods over which routes persist show wide variation, ranging from seconds up to days. About 2/3's of the Internet paths had routes persisting for either days or weeks. For routing symmetry, we look at the likelihood that a path through the Internet visits at least one different city in the two directions. At the end of 1995, this was the case half the time, and at least one different autonomous system was visited 30 % of the time.

Keyphrases

abstract end-to-end routing behavior internet path different autonomous system particular route temporary outage internet site different city internet visit long period large-scale behavior information ch93 separate type infrastructure failure time period end-to-end route measurement routing behavior formal study pathological condition single prevalent route show wide variation erroneous routing overall likelihood

DMCA