short-paper

Improving QoE via Context Prediction: A Case Study of Using WiFi Radiomaps to Predict Network Disconnection

Authors:

Nearchos Paspallis,

Salah Eddin AlshaalAuthors Info & Claims

ICPE '17 Companion: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

Pages 31 - 34

https://doi.org/10.1145/3053600.3053603

Published: 18 April 2017 Publication History

Abstract

This paper proposes a novel way to improve the user Quality of Experience (QoE) by monitoring and predicting their context. The method builds on a fingerprint-based indoor positioning system, which monitors the user's position and uses that to predict the quality of the network connection. Successfully predicting the quality of the network connection allows applications which are sensitive to network fluctuation such as video and audio streaming apps to optimize their buffering strategy, thus improving the overall QoE perceived by the end users. Our approach is demonstrated in the context of a case study-based evaluation, using a blend of real and simulated data.

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Cited By

Meftah LRouvoy RChrisment I(2020)Capturing Privacy-Preserving User Contexts with IndoorHashDistributed Applications and Interoperable Systems10.1007/978-3-030-50323-9_2(21-38)Online publication date: 8-Jun-2020
https://doi.org/10.1007/978-3-030-50323-9_2
Paspallis N(2019)An MDD‐based method for building context‐aware applications with high reusabilityJournal of Software: Evolution and Process10.1002/smr.2200Online publication date: 19-Aug-2019
https://doi.org/10.1002/smr.2200
Shafaei SMuller FSalzmann TFarzaneh MKugele SKnoll A(2018)Context Prediction Architectures in Next Generation of Intelligent Cars2018 21st International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC.2018.8569617(2923-2930)Online publication date: Nov-2018
https://doi.org/10.1109/ITSC.2018.8569617

Index Terms

Improving QoE via Context Prediction: A Case Study of Using WiFi Radiomaps to Predict Network Disconnection
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing design and evaluation methods
2. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Software infrastructure
        Middleware

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Published In

cover image ACM Conferences

ICPE '17 Companion: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

April 2017

248 pages

ISBN:9781450348997

DOI:10.1145/3053600

General Chairs:
Walter Binder
Università della Svizzera Italiana, Switzerland
,
Vittorio Cortellessa
Università dell'Aquila, Italy
,
Program Chairs:
Anne Koziolek
Karlsruhe Institute of Technology, Germany
,
Evgenia Smirni
College of William & Mary, USA
,
Meikel Poess
Oracle Corporation, USA

Copyright © 2017 ACM.

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 the author(s) 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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SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGSOFT: ACM Special Interest Group on Software Engineering
SPEC: SPEC Research Group

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Association for Computing Machinery

New York, NY, United States

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Published: 18 April 2017

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ICPE '17

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ICPE '17: ACM/SPEC International Conference on Performance Engineering

April 22 - 26, 2017

L'Aquila, Italy

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ICPE '17 Companion Paper Acceptance Rate 24 of 65 submissions, 37%;

Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

Meftah LRouvoy RChrisment I(2020)Capturing Privacy-Preserving User Contexts with IndoorHashDistributed Applications and Interoperable Systems10.1007/978-3-030-50323-9_2(21-38)Online publication date: 8-Jun-2020
https://doi.org/10.1007/978-3-030-50323-9_2
Paspallis N(2019)An MDD‐based method for building context‐aware applications with high reusabilityJournal of Software: Evolution and Process10.1002/smr.2200Online publication date: 19-Aug-2019
https://doi.org/10.1002/smr.2200
Shafaei SMuller FSalzmann TFarzaneh MKugele SKnoll A(2018)Context Prediction Architectures in Next Generation of Intelligent Cars2018 21st International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC.2018.8569617(2923-2930)Online publication date: Nov-2018
https://doi.org/10.1109/ITSC.2018.8569617

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