White Paper on Crowdsourced Network and QoE Measurements – Definitions, Use Cases and Challenges
Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-202327
- The goal of the white paper at hand is as follows. The definitions of the terms build a framework for discussions around the hype topic ‘crowdsourcing’. This serves as a basis for differentiation and a consistent view from different perspectives on crowdsourced network measurements, with the goal to provide a commonly accepted definition in the community. The focus is on the context of mobile and fixed network operators, but also on measurements of different layers (network, application, user layer). In addition, the white paper shows the valueThe goal of the white paper at hand is as follows. The definitions of the terms build a framework for discussions around the hype topic ‘crowdsourcing’. This serves as a basis for differentiation and a consistent view from different perspectives on crowdsourced network measurements, with the goal to provide a commonly accepted definition in the community. The focus is on the context of mobile and fixed network operators, but also on measurements of different layers (network, application, user layer). In addition, the white paper shows the value of crowdsourcing for selected use cases, e.g., to improve QoE or regulatory issues. Finally, the major challenges and issues for researchers and practitioners are highlighted.
This white paper is the outcome of the Würzburg seminar on “Crowdsourced Network and QoE Measurements” which took place from 25-26 September 2019 in Würzburg, Germany. International experts were invited from industry and academia. They are well known in their communities, having different backgrounds in crowdsourcing, mobile networks, network measurements, network performance, Quality of Service (QoS), and Quality of Experience (QoE). The discussions in the seminar focused on how crowdsourcing will support vendors, operators, and regulators to determine the Quality of Experience in new 5G networks that enable various new applications and network architectures. As a result of the discussions, the need for a white paper manifested, with the goal of providing a scientific discussion of the terms “crowdsourced network measurements” and “crowdsourced QoE measurements”, describing relevant use cases for such crowdsourced data, and its underlying challenges. During the seminar, those main topics were identified, intensively discussed in break-out groups, and brought back into the plenum several times. The outcome of the seminar is this white paper at hand which is – to our knowledge – the first one covering the topic of crowdsourced network and QoE measurements.…
| URN: | urn:nbn:de:bvb:20-opus-202327 |
|---|---|
| Dokumentart: | Arbeitspapier / Working Paper |
| Institute der Universität: | Fakultät für Mathematik und Informatik / Institut für Informatik |
| Sprache der Veröffentlichung: | Englisch |
| Herausgeber: | Tobias HoßfeldORCiD, Stefan Wunderer |
| Erscheinungsjahr: | 2020 |
| Seitenangabe: | 24 |
| DOI: | https://doi.org/10.25972/OPUS-20232 |
| Sonstige beteiligte Personen: | André Beyer, Andrew Hall, Anika Schwind, Christian Gassner, Fabrice Guillemin, Florian Wamser, Krzysztof Wascinski, Matthias Hirth, Michael Seufert, Pedro Casas, Phuoc Tran-Gia, Stefan Wunderer, Tobias Hoßfeld, Werner Robitza, Wojciech Wascinski, Zied Ben Houidi |
| Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
| 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik | |
| Normierte Schlagworte (GND): | Crowdsourcing; Network Measurements; Quality of Service (QoS); Quality of Experience (QoE) |
| Freie Schlagwort(e): | crowdsourced QoE measurements; crowdsourced network measurements |
| Fachklassifikation Informatik (CCS): | C. Computer Systems Organization / C.4 PERFORMANCE OF SYSTEMS |
| C. Computer Systems Organization / C.2 COMPUTER-COMMUNICATION NETWORKS / C.2.3 Network Operations / Network monitoring | |
| H. Information Systems / H.1 MODELS AND PRINCIPLES / H.1.2 User/Machine Systems | |
| Datum der Freischaltung: | 27.03.2020 |
| Lizenz (Deutsch): |  CC BY-SA: Creative-Commons-Lizenz: Namensnennung, Weitergabe unter gleichen Bedingungen 4.0 International |