Understanding end-user perception of network problems

J. Scott Miller*, Amit Mondal, Rahul Potharaju, Peter A Dinda, Aleksandar Kuzmanovic

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

It is widely assumed that certain network characteristics cause end-user irritation with network performance. These assumptions then drive the selection of quality of service parameters or the goals of adaptive systems. We have developed a methodology and toolchain, SoylentLogger, that employs user studies to empirically investigate such assumptions. SoylentLogger collects client-centric network measurement data that is labeled by the end-user as being associated with irritation at perceived network performance (or not). The data collection and labeling occurs in real-time as the user normally uses the network. We conducted a study that tracked 32 ordinary users over a period of 3 weeks and then used that data to test common assumptions about network sources of user irritation.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11
Pages43-48
Number of pages6
DOIs
StatePublished - Sep 26 2011
Event1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011 - Toronto, ON, Canada
Duration: Aug 15 2011Aug 19 2011

Publication series

NameProceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11

Other

Other1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011
CountryCanada
CityToronto, ON
Period8/15/118/19/11

Keywords

  • empathic systems
  • network performance
  • user studies

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Understanding end-user perception of network problems'. Together they form a unique fingerprint.

Cite this