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Adaptive workload allocation in query processing in autonomous heterogeneous environments

机译:自主异构环境中查询处理中的自适应工作负载分配

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摘要

The increasing prevalence of networked storage and computational resources, along with middleware for managing resource access and sharing, raises the prospect that queries can be run over resources obtained on demand, rather than on dedicated infrastructures. However, the movement of query processing into non-dedicated environments means that it is necessary to take account of the partial information and unstable conditions that characterise autonomous, shared, distributed settings. Thus, query processing on grid platforms needs to be adaptive, revising evaluation strategies at query runtime in response to the evolving environment, such as changes to machine load and availability. To address this challenge, adaptive techniques are described that: (ⅰ) balance load across plan partitions supporting intra-operator parallelism; (ⅱ) remove bottlenecks in pipelined plans supporting inter-operator parallelism; and (ⅲ) combine the two aforementioned techniques. The approach has been empirically evaluated in a grid-enabled adaptive query processor.
机译:联网存储和计算资源的日益普及以及用于管理资源访问和共享的中间件的出现,提高了查询可以在按需获取的资源上运行而不是在专用基础结构上运行的前景。但是,将查询处理移至非专用环境意味着需要考虑部分信息和不稳定的情况,这些情况是自主,共享,分布式设置的特征。因此,网格平台上的查询处理需要是自适应的,以响应不断变化的环境(例如机器负载和可用性的变化)在查询运行时修改评估策略。为了解决这一挑战,描述了自适应技术:(ⅰ)在支持运营商内部并行性的计划分区之间平衡负载; (ⅱ)消除支持运营商之间并行性的流水线计划中的瓶颈; (ⅲ)结合了上述两种技术。该方法已在启用网格的自适应查询处理器中进行了经验评估。

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