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Foundations of Consistency Types for a Higher-Order Distributed Language

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Languages and Compilers for Parallel Computing (LCPC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11998))

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Abstract

Distributed systems address the increasing demand for fast access to resources and fault tolerance for data. However, due to scalability requirements, software developers need to trade consistency for performance. For certain data, consistency guarantees may be weakened if application correctness is unaffected. In contrast, data flow from data with weak consistency to data with strong consistency requirements is problematic, since application correctness may be broken.

In this paper, we propose LCD, a higher-order static consistency-typed language with replicated data types. The type system of LCD statically enforces noninterference between data types with weak consistency and data types with strong consistency. This means that updates of weakly-consistent data can never affect strongly-consistent data. Finally, our main theorem guarantees sequential consistency for so-called con operations in our language.

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Acknowledgments

This work is supported by the China Scholarship Council 201600160040, and by the Tianhe Supercomputer Project 2018YFB0204301.

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Authors and Affiliations

  1. KTH Royal Institute of Technology, Stockholm, Sweden

    Xin Zhao & Philipp Haller

Authors
  1. Xin Zhao
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  2. Philipp Haller
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Correspondence to Xin Zhao .

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Editors and Affiliations

  1. Georgia Institute of Technology, Atlanta, GA, USA

    Santosh Pande

  2. Georgia Institute of Technology, Atlanta, GA, USA

    Vivek Sarkar

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Zhao, X., Haller, P. (2021). Foundations of Consistency Types for a Higher-Order Distributed Language. In: Pande, S., Sarkar, V. (eds) Languages and Compilers for Parallel Computing. LCPC 2019. Lecture Notes in Computer Science(), vol 11998. Springer, Cham. https://doi.org/10.1007/978-3-030-72789-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-72789-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72788-8

  • Online ISBN: 978-3-030-72789-5

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