A Comparative Study of Traffic Properties for Web Pages Optimized for Mobile Hand-Held and Non-mobile Devices

被引:0
|
作者
Flohr, Julius [1 ]
Charzinski, Joachim [1 ]
机构
[1] Univ Appl Sci, Stuttgart Media Univ, Stuttgart, Germany
关键词
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Even though the mobile Web is gaining more and more importance in the Web environment, relatively little is known about the traffic properties of Web pages optimized for mobile handheld devices (MHDs). This paper explores some characteristics of Web sites optimized for MHDs and compares them to their non-mobile counterparts. This is done using actively initiated measurements for which the homepages of the 500 most popular Web sites on the Internet have been contacted. The results show that most mobile versions of the pages are smaller than the non-mobile versions. The average mobile version of a homepage is about 30% smaller and similarly less complex as the non-mobile version.
引用
收藏
页码:29 / 42
页数:14
相关论文
共 26 条
  • [21] Musculoskeletal symptoms among mobile hand-held device users and their relationship to device use: A preliminary study in a Canadian university population
    Berolo, Sophia
    Wells, Richard R.
    Amick, Benjamin C., III
    [J]. APPLIED ERGONOMICS, 2011, 42 (02) : 371 - 378
  • [22] Laboratory and Measurement Technology Quickly determine Freshness and Status Development and Validation of a mobile, non-invasive Hand-held Measuring Device
    Grimmier, Christine
    Schmidt, Heiner
    Staib, Lena
    Heiden, Matthias
    [J]. FLEISCHWIRTSCHAFT, 2017, 97 (05): : 48 - 49
  • [24] A Comparative Study of Query-biased and Non-redundant Snippets for Structured Search on Mobile Devices
    Spirin, Nikita
    Kotov, Alexander
    Karahalios, Karrie
    Mladenov, Vassil
    Izhutov, Pavel
    [J]. CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2016, : 2389 - 2394
  • [25] Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment
    Wang, Fangyuan
    Wang, Rujing
    Xie, Chengjun
    Zhang, Jie
    Li, Rui
    Liu, Liu
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 187
  • [26] A Best Evidence Medical Education (BEME) systematic review of: What works best for health professions students using mobile (hand-held) devices for educational support on clinical placements? BEME Guide No. 52
    Maudsley, Gillian
    Taylor, David
    Allam, Omnia
    Garner, Jayne
    Calinici, Tudor
    Linkman, Ken
    [J]. MEDICAL TEACHER, 2019, 41 (02) : 125 - 140