XPath Containment in the Presence of Disjunction, DTDs, and Variables
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Efficient Indexing Structures for Mining Frequent Patterns
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Incremental Mining of Frequent XML Query Patterns
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
XPath satisfiability in the presence of DTDs
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Rewriting XPath queries using materialized views
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Query caching and view selection for XML databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Representing and querying XML with incomplete information
ACM Transactions on Database Systems (TODS)
XMark: a benchmark for XML data management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient mining of XML query patterns for caching
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
XML fragment caching for large-scale mobile commerce applications
Proceedings of the 10th international conference on Electronic commerce
Distributed and Parallel Databases
Hi-index | 0.00 |
Whenever e-commerce applications want to distribute XML data over mobile networks, the limitted battery power requires to reduce the amount of exchanged data. Therefore, we propose a technique to identify parts of the database that are more frequently queried than other parts, to cache these parts, and to reuse them for answering following queries. In this paper, we present a data shipping strategy based on a segmentation of an XML database that not only reduces the amount of transferred data within the whole network, but also simplifies the method of testing whether an intermediate participant that routes a query can contribute to this query. Furthermore, we use the XMark benchmark for experimentally evaluating how the use of our segmentation within a typical mobile auction scenario can reduce the total amount of transferred data.