Mining web logs for prediction models in WWW caching and prefetching
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Evaluation of edge caching/offloading for dynamic content delivery
WWW '03 Proceedings of the 12th international conference on World Wide Web
Correlation-based Document Clustering using Web Logs
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 5 - Volume 5
Web-Log Mining for Predictive Web Caching
IEEE Transactions on Knowledge and Data Engineering
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
A fragment-based approach for efficiently creating dynamic web content
ACM Transactions on Internet Technology (TOIT)
Automatic Fragment Detection in Dynamic Web Pages and Its Impact on Caching
IEEE Transactions on Knowledge and Data Engineering
Youtube traffic characterization: a view from the edge
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Mining web logs to improve hit ratios of prefetching and caching
Knowledge-Based Systems
A clustering-based prefetching scheme on a Web cache environment
Computers and Electrical Engineering
A new approach for a proxy-level web caching mechanism
Decision Support Systems
Characterizing user behavior in online social networks
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics
Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics
Improving Web Cache Performance via Adaptive Content Fragmentation Design
NCA '11 Proceedings of the 2011 IEEE 10th International Symposium on Network Computing and Applications
The MACE Approach for Caching Mashups
International Journal of Web Services Research
| Hi-index | 0.00 |
Web 2.0 systems are more unpredictable and customizable than traditional web applications. This causes that performance techniques, such as web caching, limit their improvements. Our study was based on the hypotheses that the use of web caching in Web 2.0 applications, particularly in content aggregation systems, can be improved by adapting the content fragment designs. We proposed to base this adaptation on the analysis of the characterization parameters of the content elements and on the creation of a classification algorithm. This algorithm was deployed with decision trees, created in an off-line knowledge discovery process. We also defined a framework to create and adapt fragments of the web documents to reduce the user-perceived latency in web caches. The experiment results showed that our solution had a remarkable reduction in the user-perceived latency even losses in the cache hit ratios and in the overhead generated on the system, in comparison with other web cache schemes.