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An adaptable distributed query processing architecture

机译:自适应的分布式查询处理架构

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Traditionally, distributed query optimization techniques generate static query plans at compile time. However, the optimality of these plans depends on many parameters (such as the selectivities of operations, the transmission speeds and workloads of servers) that are not only difficult to estimate but are also often unpredictable and fluctuant at runtime. As the query processor cannot dynamically adjust the plans at runtime, the system performance is often less than satisfactory. In this paper, we introduce a new highly adaptive distributed query processing architecture. Our architecture can quickly detect fluctuations in selectivities of operations, as well as transmission speeds and workloads of servers, and accordingly change the operation order of a distributed query plan during execution. We have implemented a prototype based on the Telegraph system [Telegragraph project. Available from ]. Our experimental study shows that our mechanism can adapt itself to the changes in the environment and hence approach to an optimal plan during execution.
机译:传统上,分布式查询优化技术会在编译时生成静态查询计划。但是,这些计划的最优性取决于许多参数(例如,操作的选择性,服务器的传输速度和工作负载),这些参数不仅难以估计,而且在运行时常常是不可预测的且波动的。由于查询处理器无法在运行时动态调整计划,因此系统性能通常不尽人意。在本文中,我们介绍了一种新的高度自适应的分布式查询处理体系结构。我们的体系结构可以快速检测操作选择性以及服务器的传输速度和工作负载的波动,并在执行过程中相应地更改分布式查询计划的操作顺序。我们已经实现了基于Telegraph系统的原型[Telegragraph项目。可从]获得。我们的实验研究表明,我们的机制可以适应环境的变化,因此可以在执行过程中寻求最佳计划。

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