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

Published

Conference Paper

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.

Full Text

Duke Authors

Cited Authors

  • Kalmegh, P; Lundberg, H; Xu, F; Babu, S; Roy, S

Published Date

  • June 2018

Published In

Volume / Issue

  • 2018 /

Start / End Page

  • 1721 - 1724

PubMed ID

  • 31289421

Pubmed Central ID

  • 31289421

International Standard Serial Number (ISSN)

  • 0730-8078

Digital Object Identifier (DOI)

  • 10.1145/3183713.3193567