Automatic discovery of performance and energy pitfalls in HTML and CSS

Author

Sampson, Adrian ; Cascaval, Calin ; Ceze, Luis ; Montesinos, Philippe ; Suarez Gracia, Dario

Author_Institution

Univ. of Washington, Seattle, WA, USA

fYear

2012

fDate

4-6 Nov. 2012

Firstpage

82

Lastpage

83

Abstract

WebChar is a tool for analyzing browsers holistically to discover properties of HTML and CSS that lead to poor performance and high energy consumption. It analyzes a large collection of Web pages to mine a model for their performance based on static attributes of the content. An evaluation on two platforms, a netbook and a smartphone, demonstrates that WebChar can yield actionable conclusions for both content developers and browser implementors.

Keywords

Web sites; data mining; energy consumption; hypermedia markup languages; online front-ends; smart phones; software performance evaluation; CSS properties; HTML properties; Web characterization; Web pages; WebChar; browser analysis; browser implementors; content developers; content static attributes; energy consumption; energy pitfall automatic discovery; model mining; netbook; performance pitfall automatic discovery; smartphone; Browsers; Cascading style sheets; Energy consumption; HTML; Mobile communication; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Workload Characterization (IISWC), 2012 IEEE International Symposium on

Conference_Location

La Jolla, CA

Print_ISBN

978-1-4673-4531-6

Type

conf

DOI

10.1109/IISWC.2012.6402904

Filename

6402904