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Quantifying QoS requirements of network services: a cheat-proof framework

Published: 23 February 2011 Publication History

Abstract

Despite all the efforts devoted to improving the QoS of networked multimedia services, the baseline for such improvements has yet to be defined. In other words, although it is well recognized that better network conditions generally yield better service quality, the exact minimum level of network QoS required to ensure satisfactory user experience remains an open question.
In this paper, we propose a general, cheat-proof framework that enables researchers to systematically quantify the minimum QoS needs for real-time networked multimedia services. Our framework has two major features: 1) it measures the quality of a service that users find intolerable by intuitive responses and therefore reduces the burden on experiment participants; and 2) it is cheat-proof because it supports systematic verification of the participants' inputs. Via a pilot study involving 38 participants, we verify the efficacy of our framework by proving that even inexperienced participants can easily produce consistent judgments. In addition, by cross-application and cross-service comparative analysis, we demonstrate the usefulness of the derived QoS thresholds. Such knowledge will serve important reference in the evaluation of competitive applications, application recommendation, network planning, and resource arbitration.

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cover image ACM Conferences
MMSys '11: Proceedings of the second annual ACM conference on Multimedia systems
February 2011
294 pages
ISBN:9781450305181
DOI:10.1145/1943552
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 February 2011

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Author Tags

  1. comparative analysis
  2. crowdsourcing
  3. method of limits
  4. psychophysics
  5. quality of experience

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  • Research-article

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MMSYS '11
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MMSYS '11: MMSYS '11 - Multimedia Systems Conference
February 23 - 25, 2011
CA, San Jose, USA

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Overall Acceptance Rate 176 of 530 submissions, 33%

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  • (2024)Coordinating Services and Networks With NaaS Tickets Towards Service Customization in Distributed CloudsIEEE Transactions on Mobile Computing10.1109/TMC.2024.338681123:12(10984-10999)Online publication date: Dec-2024
  • (2020)A Multidepth Load-Balance Scheme for Clusters of Congested Cells in Ultradense Cellular NetworksWireless Communications & Mobile Computing10.1155/2020/69758902020Online publication date: 1-Jan-2020
  • (2016)Service-oriented Wifi connectivity maintenance with a mobile AP2016 SAI Computing Conference (SAI)10.1109/SAI.2016.7556098(976-984)Online publication date: Jul-2016
  • (2013)Crowdsourcing Multimedia QoE EvaluationIEEE Transactions on Multimedia10.1109/TMM.2013.224104315:5(1121-1137)Online publication date: 1-Aug-2013
  • (2013)Using latency as a QoS indicator for global cloud computing servicesConcurrency and Computation: Practice and Experience10.1002/cpe.308125:18(2488-2500)Online publication date: 27-Jun-2013
  • (2012)Radar chart: scanning for satisfactory QoE in QoS dimensionsIEEE Network10.1109/MNET.2012.624674926:4(25-31)Online publication date: 2012
  • (2011)Video summarization via crowdsourcingCHI '11 Extended Abstracts on Human Factors in Computing Systems10.1145/1979742.1979803(1531-1536)Online publication date: 7-May-2011

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