Automating cross-layer diagnosis of enterprise wireless networks

DMCA

Automating cross-layer diagnosis of enterprise wireless networks (2007)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Yu-chung Cheng , Mikhail Afanasyev , Patrick Verkaik , Péter Benkö , Jennifer Chiang , Alex C. Snoeren , Stefan Savage , Geoffrey M. Voelker

Venue:	In Proceedings of the ACM SIGCOMM Conference, Kyoto
Citations:	64 - 8 self

BibTeX

@INPROCEEDINGS{Cheng07automatingcross-layer,
    author = {Yu-chung Cheng and Mikhail Afanasyev and Patrick Verkaik and Péter Benkö and Jennifer Chiang and Alex C. Snoeren and Stefan Savage and Geoffrey M. Voelker},
    title = {Automating cross-layer diagnosis of enterprise wireless networks},
    booktitle = {In Proceedings of the ACM SIGCOMM Conference, Kyoto},
    year = {2007}
}

OpenURL

Abstract

Modern enterprise networks are of sufficient complexity that even simple faults can be difficult to diagnose — let alone transient outages or service degradations. Nowhere is this problem more apparent than in the 802.11-based wireless access networks now ubiquitous in the enterprise. In addition to the myriad complexities of the wired network, wireless networks face the additional challenges of shared spectrum, user mobility and authentication management. Not surprisingly, few organizations have the expertise, data or tools to decompose the underlying problems and interactions responsible for transient outages or performance degradations. In this paper, we present a set of analysis techniques and models to precisely determine all sources of data transfer delay due to media access and mobility in 802.11 networks — from the physical layer to the transport layer — as well as the interactions among them. While some sources of delay can be directly measured, many of the delay components, such as AP queuing, backoffs, contention, etc., must be inferred. To infer these delays from measurements, we develop a detailed model of MAC protocol behavior, both as it is described in the 802.11 specification as well as how it is implemented in vendor hardware. Combined with comprehensive traces of wireless activity taken from an enterprise network, we produce a complete delay breakdown for packet transmissions and pinpoint problems that constrain connectivity or limit performance. 1.

Keyphrases

enterprise wireless network cross-layer diagnosis analysis technique comprehensive trace 11-based wireless access network vendor hardware user mobility transient outage medium access alone transient outage wireless network mac protocol behavior pinpoint problem wireless activity complete delay breakdown additional challenge sufficient complexity physical layer packet transmission performance degradation modern enterprise network detailed model limit performance myriad complexity service degradation underlying problem ap queuing wired network data transfer delay transport layer authentication management enterprise network delay component

DMCA