Consensus in the presence of partial synchrony
Journal of the ACM (JACM)
Unreliable failure detectors for reliable distributed systems
Journal of the ACM (JACM)
The Timed Asynchronous Distributed System Model
IEEE Transactions on Parallel and Distributed Systems
Advances in real-time database systems research
ACM SIGMOD Record
Transaction Processing: Concepts and Techniques
Transaction Processing: Concepts and Techniques
The Timely Computing Base Model and Architecture
IEEE Transactions on Computers
Temporal and Real-Time Databases: A Survey
IEEE Transactions on Knowledge and Data Engineering
Benchmark for Real-Time Database Systems for Telecommunications
DBTel '01 Proceedings of the VLDB 2001 International Workshop on Databases in Telecommunications II
Recovery and Performance Balance of a COTS DBMS in the Presence of Operator Faults
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
HotDep'05 Proceedings of the First conference on Hot topics in system dependability
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On-time data management is becoming a key difficulty faced by the information infrastructure of most organizations. In fact, database applications for critical areas are increasingly giving more importance to the timely execution of transactions. Database applications with timeliness requirements have to deal with the possible occurrence of timing failures, when the operations specified in the transaction do not complete within the expected deadlines. In spite of the importance of timeliness requirements in database applications, typical commercial DBMS do not assure any temporal properties, not even the detection of the cases when the transaction takes longer than the expected/desired time. This paper discusses the problem of timing failure detection in database applications and proposes a transaction programming approach to help developers in programming database applications with time constraints. The paper illustrates the proposed programming model with a practical example using the Oracle 10g DBMS running a performance benchmark for real-time database applications.