Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Interactive path analysis of web site traffic
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Web log data warehousing and mining for intelligent web caching
Data & Knowledge Engineering - Building web warehouse
TPC-W: A Benchmark for E-Commerce
IEEE Internet Computing
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Using Markov Chains for Link Prediction in Adaptive Web Sites
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Web-Log Mining for Predictive Web Caching
IEEE Transactions on Knowledge and Data Engineering
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
A survey of Web cache replacement strategies
ACM Computing Surveys (CSUR)
Web Page Caching in Java Web Applications
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Mining Web Logs to Improve Hit Ratios of Prefetching and Caching
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
WebSphere dynamic cache: improving J2EE application performance
IBM Systems Journal
Hi-index | 0.00 |
Servlet cache can effectively improve the throughput and reduce response time experienced by customers in servlet container. An essential issue of servlet cache is cache replacement. Traditional solutions such as LRU, LFU and GDSF only concern some intrinsic factors of cache objects regardless of associations among cached objects. For higher performance, some approaches are proposed to utilize these associations to predict customer visit behaviors, but they are still restricted by first-order Markov model and lead to inaccurate predication. In this paper, we describe associations among servlets as sequential patterns and compose them into pattern graphs, which eliminates the limitation of Markov model and achieve more accurate predictions. At last, we propose a discovery algorithm to generate pattern graphs and two predictive probability functions for cache replacement based on pattern graphs. Our evaluation shows that this approach can get higher cache hit ratio and effectively improve the performance of servlet container.