Implications of the Multi-Modality of User Perceived Page Load Time
| Autor: | Vassilis Christophides, Dario Rossi, Renata Teixeira, Diego Neves da Hora, Matteo Varvello, Flavia Salutari |
|---|---|
| Přispěvatelé: | Télécom Paris, Brave Software, Laboratory of Information, Network and Communication Sciences (LINCS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Mines-Télécom [Paris] (IMT)-Sorbonne Université (SU), Middleware on the Move (MIMOVE), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), HUAWEI Technologies France (HUAWEI), ANR-15-CE25-0013,BottleNet,Comprendre et diagnostiquer les dégradations des communications de bout en bout dans l'Internet(2015), Huawei Technologies France, Huawei Technologies France [Boulogne-Billancourt] |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Information retrieval
Speedup Computer science business.industry 020206 networking & telecommunications 02 engineering and technology Crawling Crowdsourcing [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Index (publishing) Web page 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Web navigation Metric (unit) Quality of experience [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] business |
| Zdroj: | MedComNet 2020-18th Mediterranean Communication and Computer Networking Conference MedComNet 2020-18th Mediterranean Communication and Computer Networking Conference, Jun 2020, Arona, Italy. pp.1-8, ⟨10.1109/MedComNet49392.2020.9191615⟩ MedComNet |
| DOI: | 10.1109/MedComNet49392.2020.9191615⟩ |
| Popis: | Web browsing is one of the most popular applications for both desktop and mobile users. A lot of effort has been devoted to speedup the Web, as well as in designing metrics that can accurately tell whether a webpage loaded fast or not. An often implicit assumption made by industrial and academic research communities is that a single metric is sufficient to assess whether a webpage loaded fast. In this paper we collect and make publicly available a unique dataset which contains webpage features (e.g., number and type of embedded objects) along with both objective and subjective Web quality metrics. This dataset was collected by crawling over 100 websites—representative of the top 1 M websites in the Web—while crowdsourcing 6,000 user opinions on user perceived page load time (uPLT). We show that the uPLT distribution is often multi-modal and that, in practice, no more than three modes are present. The main conclusion drawn from our analysis is that, for complex webpages, each of the different objective QoE metrics proposed in the literature (such as AFT, TTI, PLT, etc.) is suited to approximate one of the different uPLT modes. Index Terms—Web Performance, Quality Of Experience, Measurements. |
| Databáze: | OpenAIRE |
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