TRAnD: temporal requirement analysis and design tool
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 2
Real-Time Data Semantics and Similarity-Based Concurrency Control
IEEE Transactions on Computers
Real-Time Reactions in Supervisory Control According toData Freshness
Real-Time Systems - Special issue on challenges in design and implementation of middlewares for real time systems
A multi-version data model for executing real-time transactions in a mobile environment
Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access
Abort-Oriented Concurrency Control for Real-Time Databases
IEEE Transactions on Computers
Evaluation of concurrency control strategies for mixed soft real-time database systems
Information Systems - Databases: Creation, management and utilization
Strategies for resolving inter-class data conflicts in mixed real-time database systems
Journal of Systems and Software
DRDB: a distributed real-time database server for high-assurance time-critical applications
COMPSAC '97 Proceedings of the 21st International Computer Software and Applications Conference
Transaction Shipping Approach for Mobile Distributed Real-Time Databases
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Dynamic on-demand updating of data in real-time database systems
Proceedings of the 2004 ACM symposium on Applied computing
Priority Assignment in Distributed Real-time Databases Supporting Temporal Consistency
Integrated Computer-Aided Engineering
On new scheduling policy for the improvement of firm RTDBSs performances
Data & Knowledge Engineering
| Hi-index | 0.01 |
Real-time database systems (RTDBSs) have timing constraints in their specifications, such as read times, deadlines and other temporal constraints. In addition, RTDBSs must adapt to changes in the operating environment and guarantee the completion of critical transactions. Previous research efforts in RTDBSs have been focused on scheduling transactions with soft or firm deadlines with serializability as the sole correctness criterion. Few results have been reported for supporting predictable transaction execution and guaranteeing the temporal consistency of data. The goal has been to minimize the deadline miss ratio and to maintain the logical consistency of data. In this paper, we address the issues of predictability and temporal consistency in RTDBSs. We briefly discuss the characteristics and requirements of RTDBSs, and present a transaction processing scheme that supports multiple levels of predictability for real-time transactions. The performance of the proposed scheme and the cost of achieving a high level of predictability is studied by using simulation.