Methods for Objective and Subjective Evaluation of Zero-Client Computing

Zero clients are hardware-based devices without a central processing unit (CPU) that deliver virtual desktops (VDs) from remote computing systems to users. We measured the performance of applications accessed through zero clients to study the feasibility of using this approach to provide a desktop-p...

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Main Authors: Fatma Alali, Tasha A. Adams, Rider W. Foley, Dan Kilper, Ronald D. Williams, Malathi Veeraraghavan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
QoE
Online Access:https://ieeexplore.ieee.org/document/8746078/
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spelling doaj-a54820d64e1d4e7ebf4e7f83b3852fcb2021-03-29T23:59:30ZengIEEEIEEE Access2169-35362019-01-017945699458210.1109/ACCESS.2019.29250838746078Methods for Objective and Subjective Evaluation of Zero-Client ComputingFatma Alali0https://orcid.org/0000-0001-6802-0567Tasha A. Adams1Rider W. Foley2Dan Kilper3Ronald D. Williams4Malathi Veeraraghavan5Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USACollege of Optical Sciences, The University of Arizona, Tucson, AZ, USADepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USACollege of Optical Sciences, The University of Arizona, Tucson, AZ, USADepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USADepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USAZero clients are hardware-based devices without a central processing unit (CPU) that deliver virtual desktops (VDs) from remote computing systems to users. We measured the performance of applications accessed through zero clients to study the feasibility of using this approach to provide a desktop-pc experience across a network. Performance evaluation is complicated because monitoring software cannot be downloaded to the zero clients. Therefore, we introduce a new methodology and metric to measure zero-client VD performance that is based on network-traffic analysis. We conducted objective and subjective studies to determine the sensitivity of application-specific metrics to different network conditions. The results show that the packet loss rate (PLR) impacts zero-client performance for some applications such as video streaming. Subjective tests showed a greater user sensitivity to the PLR for video streaming than for image viewing or Skype. A strong correlation was found between the objective and subjective measurements but the rate at which these measurements changed with increasing PLR differed depending on the application.https://ieeexplore.ieee.org/document/8746078/Edge-cloudmeasurementsobjective studyQoEremote desktopssubjective study
collection DOAJ
language English
format Article
sources DOAJ
author Fatma Alali
Tasha A. Adams
Rider W. Foley
Dan Kilper
Ronald D. Williams
Malathi Veeraraghavan
spellingShingle Fatma Alali
Tasha A. Adams
Rider W. Foley
Dan Kilper
Ronald D. Williams
Malathi Veeraraghavan
Methods for Objective and Subjective Evaluation of Zero-Client Computing
IEEE Access
Edge-cloud
measurements
objective study
QoE
remote desktops
subjective study
author_facet Fatma Alali
Tasha A. Adams
Rider W. Foley
Dan Kilper
Ronald D. Williams
Malathi Veeraraghavan
author_sort Fatma Alali
title Methods for Objective and Subjective Evaluation of Zero-Client Computing
title_short Methods for Objective and Subjective Evaluation of Zero-Client Computing
title_full Methods for Objective and Subjective Evaluation of Zero-Client Computing
title_fullStr Methods for Objective and Subjective Evaluation of Zero-Client Computing
title_full_unstemmed Methods for Objective and Subjective Evaluation of Zero-Client Computing
title_sort methods for objective and subjective evaluation of zero-client computing
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Zero clients are hardware-based devices without a central processing unit (CPU) that deliver virtual desktops (VDs) from remote computing systems to users. We measured the performance of applications accessed through zero clients to study the feasibility of using this approach to provide a desktop-pc experience across a network. Performance evaluation is complicated because monitoring software cannot be downloaded to the zero clients. Therefore, we introduce a new methodology and metric to measure zero-client VD performance that is based on network-traffic analysis. We conducted objective and subjective studies to determine the sensitivity of application-specific metrics to different network conditions. The results show that the packet loss rate (PLR) impacts zero-client performance for some applications such as video streaming. Subjective tests showed a greater user sensitivity to the PLR for video streaming than for image viewing or Skype. A strong correlation was found between the objective and subjective measurements but the rate at which these measurements changed with increasing PLR differed depending on the application.
topic Edge-cloud
measurements
objective study
QoE
remote desktops
subjective study
url https://ieeexplore.ieee.org/document/8746078/
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