Mid-tier caching: the TimesTen approach
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
On Implicate Discovery and Query Optimization
IDEAS '02 Proceedings of the 2002 International Symposium on Database Engineering & Applications
Applying Multiple Query Optimization in Mobile Databases
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
A Window-Based Approach to Retrieving Memory-Resident Data for Query Execution
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
The TEXTURE benchmark: measuring performance of text queries on a relational DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Parallel execution of test runs for database application systems
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Evolutionary Tuning for Distributed Database Performance
ISPDC '05 Proceedings of the The 4th International Symposium on Parallel and Distributed Computing
When location-based services meet databases
Mobile Information Systems
Cache tables: paving the way for an adaptive database cache
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
A dependability benchmark for OLTP application environments
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
A low-cost hybrid coordinated checkpointing protocol for mobile distributed systems
Mobile Information Systems
Managing data using neighbour replication on a triangular-grid structure
International Journal of High Performance Computing and Networking
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In recent years, mobile devices have become relatively more powerful with additional features which have the capability to provide multimedia streaming. Better, faster and more reliable data storage solutions in the mobile messaging platform have become more essential with these additional improvements. The existing mobile messaging infrastructure, in particular the data storage platform has become less proficient in coping with the increased demand for its services. This demand especially in the mobile messaging area (i.e. SMS - Short Messaging Service, MMS - Multimedia Messaging Service), which may well exceeded 250,000 requests per second, means that the need to evaluate competing data management systems has become not only necessary but essential. This paper presents an evaluation of SMS and MMS platforms using different database management systems - DBMS and recommends the best data management strategies for these platforms.