Paper Info
Title
iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks.
Abstract
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 iQCAR-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.
Year
DOI
Venue
2018
10.1145/3183713.3193567
SIGMOD/PODS '18: International Conference on Management of Data Houston TX USA June, 2018
Keywords
Field
DocType
Performance evaluation,contention analysis,blame attribution,resource bottleneck,cluster computing systems
Computer science,Directed acyclic graph,Schedule,Spectrum analyzer,Computer cluster,Database,Distributed computing
Conference
ISSN
ISBN
Citations 
0730-8078
978-1-4503-4703-7
1
PageRank 
References 
Authors
0.63
3
5
Name
Order
Citations
PageRank
Prajakta Kalmegh192.68
Harrison Lundberg210.63
Frederick Xu310.63
Shivnath Babu44770277.85
Sudeepa Roy526830.95