Parallelizing serializable transactions using transaction classification in real-time database systems

A real-time database system supports a mix of transactions. These include the real-time transactions that require completion by a given deadline. At the support side, existing concurrency control procedures introduce delays due to non-availability of data resources. The present study makes an effort to introduce a higher level of parallelism for execution of real-time transactions. It considers simple extensions within a transaction processing system. These permit a real-time transaction to avoid delays due to ordinary transactions. These also eliminate elements of other unpredictable delays, due to deadlocks or simple waiting for data resources. Thus, the investigated procedures can perform critical functions in parallel to process time-critical transactions. In effect, it is a model of transaction execution that permits execution of real-time transactions without interference from other executing transactions, and by reducing other probabilistic delays associated the with competing real-time transactions.