Concept
database management
Variants
Database Systems, Database Management Systems
Parents
Children
Cloud ComputingData BackupData MigrationData ProcessingData Restoration
718
Publications
48.5K
Citations
1.5K
Authors
494
Institutions
Heterogeneous Real-Time Databases
2002 - 2002
Database Management System research in this period centers on real-time design that balances timing constraints with multilevel security, trading throughput for verifiable guarantees in real-time environments. Semantic modeling and schema transformation address heterogeneity and imperfect information to enable cross-database interoperability and conceptual clarity. Storage hierarchy and memory management explore hierarchical storage, tertiary memory, and main-memory approaches to optimize data access, while the field evolves toward autonomic computing and contract-based transactions, including migrations between relational and object-oriented models. Historical Significance: The introduction of the Skyline operator provided a practical framework for multi-criteria queries, catalyzing extensive research on preference queries and skyline computation. The emergence of moving objects databases formalized trajectory data management and indexing strategies, shaping early Location-Based Services. Data federation established federated approaches for integrating autonomous heterogeneous databases, and two-level serializability offered a compromise between correctness and local autonomy in distributed environments.
• Real-time DBMS design balancing timing constraints and multilevel security, with trade-offs between throughput and security guarantees in multilevel real-time environments [1], [7], [12].
• Semantic modeling and schema transformation enable conceptual understanding and cross-database interoperability by addressing heterogeneity and imperfect information [2], [9], [8], [5].
• Storage hierarchy and memory management for databases optimize access using hierarchical storage, tertiary memory, and main-memory DBMS approaches [3], [13], [16], [19].
• Evolution of DBMS paradigms examines autonomic computing, contract-based transactions and migrations between relational and object-oriented models [15], [14], [17], [11].
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