iQCAR:集群计算框架内查询争用分析器的演示。

Prajakta Kalmegh, Harrison Lundberg, Frederick Xu, Shivnath Babu, Sudeepa Roy
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引用次数: 6

摘要

在共享集群中,查询运行时的不可预测性可能是由查询间交互引起的资源争用的结果。iQCAR—查询争用分析器是一个系统,它正式地对并发查询之间的这些干扰进行建模,并提供一个框架来确定争用的原因。iQCAR利用一个称为iQC-Graph的多级有向无环图来诊断查询调度中导致这些资源争用的异常。该演示将使用户能够对查询在执行的各个阶段所面临的资源争用进行逐步深入的探索。该界面将允许用户识别前k个受害者和争用源,诊断集群中的高争用节点和资源,并对它们对查询性能的影响进行排名。用户还可以浏览iQCAR推荐的一组规则,以比较集群调度器如何应用每个规则在后续执行中解决争用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks.

iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks.

iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks.

Unpredictability in query runtimes can arise in a shared cluster as a result of resource contentions caused by inter-query interactions. iQCAR - inter Query Contention AnalyzeR is a system that formally models these interferences between concurrent queries and provides a framework to attribute blame for contentions. iQCAR leverages a multi-level directed acyclic graph called iQC-Graph to diagnose the aberrations in query schedules that lead to these resource contentions. The demonstration will enable users to perform a step-wise deep exploration of such resource contentions faced by a query at various stages of its execution. The interface will allow users to identify top-k victims and sources of contentions, diagnose high-contention nodes and resources in the cluster, and rank their impacts on the performance of a query. Users will also be able to navigate through a set of rules recommended by iQCAR to compare how application of each rule by the cluster scheduler resolves the contentions in subsequent executions.

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