Data caching tradeoffs in client-server DBMS architectures
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Answering Queries by Semantic Caches
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
The Case for Cooperative Networking
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Database Systems: The Complete Book
Database Systems: The Complete Book
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Semantic caching is a technique used for optimizing the evaluation of database queries by caching results of previous answered queries at the client side and using the cached results when trying to answer new queries. Before sending a query to the database server, the client first checks, if there are any cached query results that semantically contain the new query or parts of the query. If such cached results are found, they can be used when answering the new query. Otherwise, the query will be answered by the database management server. This paper proposes to extend the general semantic caching mechanism by enabling clients to share their local semantic caches in a cooperative matter. If a particular query cannot be answered using the local cache, the system will verify, if there are other clients, located across the Internet, that are able to answer the query using the data stored in their caches. Such an approach will increase the throughput of database servers, because servers will only receive queries that cannot be answered using the cooperative cache concept.