Research Article
A Scalable Cooperative Semantic Caching (CoopSC) Approach to Improve Range Queries
@INPROCEEDINGS{10.4108/icst.collaboratecom.2011.247093, author={Andrei Vancea and Laurent d'Orazio and Burkhard Stiller}, title={A Scalable Cooperative Semantic Caching (CoopSC) Approach to Improve Range Queries}, proceedings={7th International Conference on Collaborative Computing: Networking, Applications and Worksharing}, publisher={IEEE}, proceedings_a={COLLABORATECOM}, year={2012}, month={4}, keywords={cooperation in p2p semantic caching data base p2p application implementation}, doi={10.4108/icst.collaboratecom.2011.247093} }- Andrei Vancea
Laurent d'Orazio
Burkhard Stiller
Year: 2012
A Scalable Cooperative Semantic Caching (CoopSC) Approach to Improve Range Queries
COLLABORATECOM
ICST
DOI: 10.4108/icst.collaboratecom.2011.247093
Abstract
Semantic caching is a technique used for optimizing the evaluation of database queries by caching results of old queries and using them when answering new queries. CoopSC is a cooperative database caching approach, which extends the classic semantic caching approach by allowing clients to share their local caches in a cooperative matter. Cache entries of all clients are indexed in a distributed data structure constructed on top of a Peer-to-Peer (P2P) overlay network. This distributed index is used for determining those cache entries that can be used for answering a specific query. Thus, this approach decreases the response time of database queries and the amount of data sent by database server, because the server only answers those parts of queries that are not available in the cooperative cache. The approach has been validated and experiments show that CoopSC improves the performance of range queries.