A practical method for measuring Web above-the-fold time

Autor: Dario Rossi, Diego Neves da Hora, Renata Teixeira, Vassilis Christophides
Přispěvatelé: Télécom ParisTech, Département Informatique et Réseaux (INFRES), 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), 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), HAL, TelecomParis, Réseaux, Mobilité et Services (RMS), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, CHRISTOPHIDES, VASSILIS
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: ACM SIGCOMM 2018 Conference
ACM SIGCOMM 2018 Conference, Aug 2018, Budapest, Hungary
ACM SIGCOMM 2018
ACM SIGCOMM 2018, Aug 2018, Budapest, Hungary
SIGCOMM Posters and Demos
Popis: International audience; Page load time (PLT) is still the most common application Quality of Service (QoS) metric to estimate the Quality of Experience (QoE) of Web users. Yet, recent literature abounds with interesting proposals for alternative metrics (e.g., Above The Fold, SpeedIndex and variants) that aim at closely capturing how users perceive the Webpage rendering process. However, these novel metrics are typically computationally expensive, as they require to monitor and post-process videos of the rendering process, and have failed to be widely deployed. In this demo, we show our implementation of an open-source Chrome extension that implements a practical and lightweight method to measure the approximated Above-the-Fold (AATF) time, as well as others Web performance metrics. The idea is, instead of accurately monitoring the rendering output, to track the download time of the last visible object on screen (i.e., "above the fold"). Our plugin also has options to save detailed reports for later analysis, a functionality ideally suited for researchers wanting to gather data from Web experiments.
Databáze: OpenAIRE