Data caching tradeoffs in client-server DBMS architectures
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Persistence software: bridging object-oriented programming and relational databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Mainstream objects: an analysis and design approach for business
Mainstream objects: an analysis and design approach for business
Crossing Chasms: a pattern language for object-RDBMS integration: the static patterns
Pattern languages of program design 2
Pattern-oriented software architecture: a system of patterns
Pattern-oriented software architecture: a system of patterns
Transactional client-server cache consistency: alternatives and performance
ACM Transactions on Database Systems (TODS)
Database Systems Concepts
Active Database Systems: Triggers and Rules for Advanced Database Processing
Active Database Systems: Triggers and Rules for Advanced Database Processing
Transaction Processing: Concepts and Techniques
Transaction Processing: Concepts and Techniques
Techniques for Update Handling in the Enhanced Client-Server DBMS
IEEE Transactions on Knowledge and Data Engineering
A flexible and recoverable client/server database event notification system
The VLDB Journal — The International Journal on Very Large Data Bases
Object Life-Cycles in Active Relational Databases
TOOLS '98 Proceedings of the Technology of Object-Oriented Languages and Systems
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One of the most common client/server architectures in enterprise systems today is the combination of object-oriented applications with active relational database systems. With this combination, developers have to overcome a difficult problem: the impedance mismatch between object orientation and the relational model. To date, there are several incomplete approaches for describing the integration of static and dynamic object aspects and active relational databases. An important issue missing from these approaches is the state synchronization between server tuples and client-cached objects. In a previous paper we proposed a technique for mapping the dynamic behavior of objects into active relational databases, using database triggers and stored-procedures. This paper extends our previous one with an architecture based on a replication strategy that maintains server tuples and client-cached objects synchronized with respect to state. This architecture automatically updates client-cached object versions when their corresponding server database tuples are updated.