Monotasks: Architecting for Performance Clarity in Data Analytics Frameworks

SOSP '17: ACM SIGOPS 26th Symposium on Operating Systems Principles Shanghai China October, 2017, pp. 184-200, 2017.

Cited by: 35|Bibtex|Views128|DOI:https://doi.org/10.1145/3132747.3132766
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Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

In today's data analytics frameworks, many users struggle to reason about the performance of their workloads. Without an understanding of what factors are most important to performance, users can't determine what configuration parameters to set and what hardware to use to optimize runtime. This paper explores a system architecture designe...More

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