Understanding end-user perception of network problems

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

doi:10.1145/2018602.2018613

Understanding end-user perception of network problems

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

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11
Pages	43-48
Number of pages	6
DOIs	https://doi.org/10.1145/2018602.2018613
State	Published - 2011
Event	1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011 - Toronto, ON, Canada Duration: Aug 15 2011 → Aug 19 2011

Publication series

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

Other

Other	1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011
Country/Territory	Canada
City	Toronto, ON
Period	8/15/11 → 8/19/11

Keywords

empathic systems
network performance
user studies

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Science Applications

Access to Document

10.1145/2018602.2018613

Cite this

@inproceedings{f145de18dfc140cba7cd6fc8be86fedd,

title = "Understanding end-user perception of network problems",

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.",

keywords = "empathic systems, network performance, user studies",

author = "Miller, {J. Scott} and Amit Mondal and Rahul Potharaju and Dinda, {Peter A} and Aleksandar Kuzmanovic",

year = "2011",

doi = "10.1145/2018602.2018613",

language = "English (US)",

isbn = "9781450308007",

series = "Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11",

pages = "43--48",

booktitle = "Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11",

note = "1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011 ; Conference date: 15-08-2011 Through 19-08-2011",

}

Miller, JS, Mondal, A, Potharaju, R, Dinda, PA & Kuzmanovic, A 2011, Understanding end-user perception of network problems. in Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11. Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, pp. 43-48, 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011, Toronto, ON, Canada, 8/15/11. https://doi.org/10.1145/2018602.2018613

Understanding end-user perception of network problems. / Miller, J. Scott; Mondal, Amit; Potharaju, Rahul et al.
Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11. 2011. p. 43-48 (Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Understanding end-user perception of network problems

AU - Miller, J. Scott

AU - Mondal, Amit

AU - Potharaju, Rahul

AU - Dinda, Peter A

AU - Kuzmanovic, Aleksandar

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

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KW - network performance

KW - user studies

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M3 - Conference contribution

AN - SCOPUS:80053044831

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T3 - Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11

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

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Y2 - 15 August 2011 through 19 August 2011

ER -

Understanding end-user perception of network problems

Abstract

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Keywords

ASJC Scopus subject areas

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