Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Performance of Dynamic Web Page Generation for Database-driven Web Sites

Authors: Probir Ghosh; Andrew Rau-Chaplin;

Performance of Dynamic Web Page Generation for Database-driven Web Sites

Abstract

With the rapid growth of e-business, Web sites are increasingly relying on dynamic content generation applications to provide dynamic interaction and personalized experiences to the Web sites users. To generate such dynamic Web page for each user request requires heavy dynamic script execution due to customize and personalize information. This dynamic script execution puts heavy load on the Web server. Again database server experiences extra overheads due to increase of database-driven e-commerce applications and their frequently update. These extra loads on Web server and database server lead to increase response time. The overall response time is made up of two types of latency, namely network latency and server-side latency. In this paper we are mainly concerned about server-side latency. We have proposed an approach which integrates prediction based dynamic Web page pre-generation with PFC and DBC caching. Our integrated approach reduces dynamic Web page generation time by achieving the eventual benefits through middle-tier database cache (DBC) and HTML fragment cache(PFC) and the immediate benefit through dynamic Web page pre-generation. Response time is reduced by storing database tables in the middle-tier cache and by sharing common fragments among multiple pages stored in the HTML fragment cache. The reduction of response time latency significantly improves the performance and scalability

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!