The World Wide Web is still among the most prominent Internet applications. While the Web landscape has been in perpetual movement since the very beginning, these last few years have witnessed some noteworthy proposals such as SPDY, HTTP/2 and QUIC which could disrupt the Web status quo and profoundly reshape the protocols family at application layer. We’re working toward the definition and assessment of objective metrics related to quality of user experience and on gathering subjective user feedback.
In particular we have proposed two replacement metrics for Google’s SpeedIndex, namely ObjectIndex and ByteIndex, that are structurally similar to the SpeedIndex but tremendously simpler to compute. In a nutshell we argue that, to some extent, the objects (or bytes) that are received by the browser (or the network card) can provide a first approximation of the visual completeness of the rendering process. We test SpeedIndex, ObjectIndex and ByteIndex (along with other metrics) on the Alexa top-100 dataset, finding high levels of correlation among these metrics (as shown in the arc diagram above).
We are releasing software, tools and datasets at the dedicated WebQoE page.
Passive and Active Measurements, 2017, (keyword: QoE; Quality of Experience; DOM; onLoad; TTFB; TTFP; Abovethe-fold; SpeedIndex; ByteIndex; ObjectIndex; MOS).
ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE 2016),, 2016, (keywords: Quality of Experience; DOM; onLoad; TTFB; TTFP; Above- the-fold; SpeedIndex; ByteIndex; ObjectIndex; MOS. Note: Selected as Best Paper in the workshop for reprint in ACM SIGCOMM Comput. Commun. Rev.).