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

机译:使用实时数据库系统中的事务分类并行化可序列化事务

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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.
机译:实时数据库系统支持交易组合。这些包括所需截止日期需要完成的实时交易。在支持方面,现有的并发控制程序由于数据资源的不可用而引入延迟。目前的研究努力引入更高水平的并行性以执行实时交易。它考虑了事务处理系统内的简单扩展。这些允许实时交易以避免由于普通交易而延迟。由于死锁或简单等待数据资源,这些还会消除其他不可预测延迟的元素。因此,调查的过程可以并行执行关键功能,以处理时间关键交易。实际上,它是事务执行的模型,其允许执行实时事务而不与其他执行事务的干扰,并且通过减少与竞争实时事务相关联的其他概率延迟。

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