Performance tradeoffs for client-server query processing
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Structures for manipulating proposed updates in object-oriented databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Cache investment: integrating query optimization and distributed data placement
ACM Transactions on Database Systems (TODS)
Tamino - An Internet Database System
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Indexing and Querying XML Data for Regular Path Expressions
Proceedings of the 27th International Conference on Very Large Data Bases
Change-Centric Management of Versions in an XML Warehouse
Proceedings of the 27th International Conference on Very Large Data Bases
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
O2PC-MT: A Novel Optimistic Two-Phase Commit Protocol for Mobile Transactions
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
PicoDMBS: Scaling Down Database Techniques for the Smartcard
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Search tree patterns for mobile and distributed XML processing
DBISP2P'04 Proceedings of the Second international conference on Databases, Information Systems, and Peer-to-Peer Computing
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Whenever small mobile devices with low bandwidth connections to a server execute transactions on common XML data, then efficient data exchange between client and server is a key problem to be solved. However, a solution should also consider client-side cache management for the XML data, synchronization of concurrent access to the XML data, and lost connections during transaction execution. In order to reduce data exchange between client and server, our protocol reuses data stored in the client's memory instead of reloading data into the client's memory wherever possible. A key idea is that the server keeps a 'living copy' of the XML fragments in the client's memory for efficient cache management. Furthermore, our protocol integrates well with a validation based scheduler in such a way that offline work and transaction completion after lost connections are supported. Finally, we present some optimizations that further reduce client-server communication.