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The Response-Time Distribution in a Real-Time Database with Optimistic Concurrency Control and Exponential Execution Times

机译:具有最优并发控制和指数执行时间的实时数据库中的响应时间分布

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For a real-time shared-memory database with optimistic concurrency control, an approximation for the transaction response-time distribution is obtained. The model assumes that transactions arrive at the database according to a Poisson process, that every transaction takes an exponential execution time and uses an equal number of data-items uniformly chosen, and that the multprogramming level is bounded. The analysis is based on a decomposition approach: results for the closed system with a fixed number of transactions are used to derive the response-time distribution in the open system with Poisson arrivals. Numerical experiments that compare analysis with simulation indicate that the approximation for the throughput and the response-time distribution works well for the closed system. For the open system the approximation for the response-time distribution is useful if the load is not too high.
机译:对于具有乐观并发控制的实时共享内存数据库,可以获得事务响应时间分布的近似值。该模型假定事务根据泊松过程到达数据库,每个事务花费指数执行时间并使用相等数量的均匀选择的数据项,并且多重编程级别是有界的。该分析基于分解方法:具有固定事务数的封闭系统的结果用于推导具有Poisson到达的开放系统中的响应时间分布。将分析与仿真进行比较的数值实验表明,吞吐量和响应时间分布的近似值在封闭系统中效果很好。对于开放系统,如果负载不太高,则响应时间分布的近似值很有用。

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