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arXiv · 1712.04982

Interpreted Formalisms for Configurations

Chong Tang·Kevin Sullivan·Jian Xiang·Trent Weiss·Baishakhi Ray
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Abstract

Imprecise and incomplete specification of system \textit{configurations} threatens safety, security, functionality, and other critical system properties and uselessly enlarges the configuration spaces to be searched by configuration engineers and auto-tuners. To address these problems, this paper introduces \textit{interpreted formalisms based on real-world types for configurations}. Configuration values are lifted to values of real-world types, which we formalize as \textit{subset types} in Coq. Values of these types are dependent pairs whose components are values of underlying Coq types and proofs of additional properties about them. Real-world types both extend and further constrain \textit{machine-level} configurations, enabling richer, proof-based checking of their consistency with real-world constraints. Tactic-based proof scripts are written once to automate the construction of proofs, if proofs exist, for configuration fields and whole configurations. \textit{Failures to prove} reveal real-world type errors. Evaluation is based on a case study of combinatorial optimization of Hadoop performance by meta-heuristic search over Hadoop configurations spaces.

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Chong Tang, Kevin Sullivan, Jian Xiang, Trent Weiss, Baishakhi Ray. 2017-12-13. Interpreted Formalisms for Configurations. https://arxiv.org/abs/1712.04982

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