Abstract

A real-time database system (RTDBS) can be defined as a database system where transactions are associated with real-time constraints typically in the form of deadlines. The system must process transactions so as to both meet the deadlines and maintain the data consistency. Previous research effort in this field has been focused on scheduling transactions with soft or firm deadlines under the conventional transaction model and database system architecture which cannot support predictable real#time transaction processing. In this thesis, we provide a framework to realize predictable real-time transaction processing, satisfying both timing and consistency constraints of a real-time database system. First, we classify data objects and transactions found in typical real-time database applications, considering their distinct characteristics and requirements. Each type of real-time data objects has its own correctness criteria, different from the conventional one. Real#time transactions a...

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