Name
Abstract | ||
|---|---|---|
This paper explores the effect of web caching on load times in terms of browser choice and website type. By comparing the load time of web pages using different browsers and website types it was possible to determine the relationship between the variables. Load time differs between browsers based on how the browsers parse different kinds of data. It terms of website type, the traffic volume as well as frequency of updates by administrators and website users is responsible for the varying load times. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3991/ijet.v8i6.2938 | INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING |
Keywords | Field | DocType |
Browser, load, load-time, cache, non-cache, stale, speed, website, web, type, platform, measurement, documentation, performance, theory, reliability, experimentation, verification, human factors, standardization | World Wide Web,Web page,Cache,Computer science,Traffic volume,Parsing,Documentation,Standardization,Database | Journal |
Volume | Issue | ISSN |
8 | 6 | 1863-0383 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emma Tang | 1 | 0 | 0.34 |
| Tae Hwan Oh | 2 | 41 | 6.62 |
| Young B. Choi | 3 | 94 | 12.26 |
| Swapna Kalpagam Subramaniam | 4 | 0 | 0.34 |