| Summary: | 碩士 === 國立交通大學 === 網路工程研究所 === 101 === With the rapid growth of smartphones in market, the smoothness of smartphones becomes a crucial factor considered by consumers in making their buying decisions. However, there is no standard benchmark for comparison. In addition, the commonly used smoothness indexes, such as the frame rates and response time, cannot cover all aspects of smoothness of smartphones. In order to fairly evaluate the smoothness of smartphone, we developed a handheld smoothness evaluation over regression (HSER) model to benchmark the smoothness of smartphones. We first recorded a video and extracted several key indexes to represent behavior-based smoothness quality of services (BQoS), including the mean of frame intervals (MFI), variance of frame intervals (VFI), maximal frame interval (MaxFI), frame no response (FNR) and times of maximal frame interval (TMaxFI) and number of frame intervals (NFI). The correlation of MFI, VFI, FNR and TMaxFI is higher than 71.5% in logarithmic relationship. To avoid the collinearity problem which may lead to extra error, MaxFI and NFI are used to be the indexes for our HSER model. We next built up a relationship between BQoS and behavior-based smoothness quality of experience (BQoE). Finally, we converted BQoE to handheld smoothness quality of experience (HQoE). In our experiment, MaxFI and NFI are also good indexes for the “non-smooth” situations which have the long waiting time and the fragmentary frames. In addition, we tested three different smartphones, HTC hero, Huawei U8860 and Nexus S, to evaluate the applicability of HSER. Our results show that the proposed HSER model is able to fairly evaluate the smoothness of smartphones because the error rate of the HSER model is lower than 9%.
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