eprintid: 14963
rev_number: 58
eprint_status: archive
userid: 587
dir: disk0/00/01/49/63
datestamp: 2009-03-24 13:23:21
lastmod: 2020-02-12 16:41:25
status_changed: 2009-03-24 13:23:21
type: proceedings_section
metadata_visibility: show
item_issues_count: 0
creators_name: Clegg, R
creators_name: Landa, R
creators_name: Haddadi, H
creators_name: Rio, M
creators_name: Moore, AW
title: Techniques for flow inversion on sampled data
ispublished: pub
subjects: 8100
divisions: UCL
divisions: A01
divisions: B04
divisions: C05
divisions: F46
note: (c) 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
abstract: The distribution of flow sizes is a quantity of interest fundamental to traffic engineering and network modelling and only likely to become more important in the future. The recovery of the flow-length distribution from (sampled) packet data is referred to as flow-inversion. Traditional packet sampling methods cause distortions in a recovered distribution of flow-length. We propose an improved method for inverting data sampled using the technique known as sample-and-hold. We show that the technique improves upon existing inversion techniques illustrated using both real and artificial data sets. The technique described may have applications to other inversion problems.
date: 2008
publisher: IEEE
official_url: http://dx.doi.org/10.1109/INFOCOM.2008.4544600
vfaculties: VENG
oa_status: green
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_source: Manually entered
elements_id: 102010
doi: 10.1109/INFOCOM.2008.4544600
isbn_13: 978-1-4244-2219-7
lyricists_name: Clegg, Richard
lyricists_name: Landa Gamiochipi, Raul
lyricists_name: Rio, Miguel
lyricists_id: RCLEG46
lyricists_id: RLLAN35
lyricists_id: MJGRI50
full_text_status: public
place_of_pub: Piscataway, US
refereed: TRUE
book_title: INFOCOM 2008 Global Internet Symposium, Phoenix, USA, April 2008
citation:        Clegg, R;    Landa, R;    Haddadi, H;    Rio, M;    Moore, AW;      (2008)    Techniques for flow inversion on sampled data.                     In:  INFOCOM 2008 Global Internet Symposium, Phoenix, USA, April 2008.    IEEE: Piscataway, US.       Green open access   
 
document_url: https://discovery-pp.ucl.ac.uk/id/eprint/14963/1/14963.pdf