DYFRAM: dynamic fragmentation and replica management in distributed database systems
Distributed and Parallel Databases
Site-autonomous distributed semantic caching
Proceedings of the 2011 ACM Symposium on Applied Computing
Efficient distributed top-k query processing with caching
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
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Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with requirements for efficient storage and query solutions are now emerging. For this purpose we have developed DASCOSA-DB, a P2P-based distributed database system, which in addition to providing location-transparent storage and querying, also includes novel features like efficient partial restartof queries and redistribution of query operators in the context of failure, dynamic refragmentation and allocation, and distributed semantic caching. In this demo, the novel features will be demonstrated, combined with a more general description of the architecture and demonstration of the distributed query processing capabilities.