Landing page characteristics model for mobile web performance evaluations on object and page levels

Troy Johnson, Patrick Seeling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

As the main web page access modality shifts to mobile devices, evaluations of the impact on underlying networks is required to perform long-term strategic optimizations. In this paper, we characterize individual mobile web page objects by size, cache expiration, and their composition into pages. Employing popular mobile web landing pages, we evaluate their characteristics on an individual and composed page level to derive a model that captures their main facets with respect to object size and caching distributions on a lumped and contextually aggregated page level. We observe that similar distributions can be employed for overall object sizes as well as their composition to web pages, while the cache expiration ages need to be taken into account for different contextual types of web pages. Employing our model, we successfully approximate cache lifetime for the mobile web, demonstrating its use for mobile web performance evaluations. The employed model thus allows network operators to perform broad planning on different time scales.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communications, ICC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3616-3621
Number of pages6
ISBN (Electronic)9781467364324
DOIs
StatePublished - Sep 9 2015
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: Jun 8 2015Jun 12 2015

Publication series

NameIEEE International Conference on Communications
Volume2015-September
ISSN (Print)1550-3607

Conference

ConferenceIEEE International Conference on Communications, ICC 2015
Country/TerritoryUnited Kingdom
CityLondon
Period06/8/1506/12/15

Keywords

  • Mobile communication
  • data communications
  • traffic modeling

Fingerprint

Dive into the research topics of 'Landing page characteristics model for mobile web performance evaluations on object and page levels'. Together they form a unique fingerprint.

Cite this