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Compositional synthesis of modular systems.

Bernd Finkbeiner1, Noemi Passing1

  • 1CISPA Helmholtz Center for Information Security, Saarbrücken, Germany.

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|September 19, 2022
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Summary
This summary is machine-generated.

This study presents a compositional synthesis algorithm for distributed systems, enabling practical scalability. The algorithm generates strategies and certificates, improving efficiency for distributed synthesis tasks.

Keywords:
Bounded synthesisCompositional synthesisDistributed systemsReactive systems

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Formal Methods

Background:

  • Distributed synthesis of monolithic systems remains a significant challenge.
  • Compositional approaches are crucial for developing scalable distributed algorithms.
  • Decomposing global system specifications into local process requirements is key.

Purpose of the Study:

  • To present and extend a sound and complete compositional synthesis algorithm.
  • To develop a method for generating certificates that define assume-guarantee contracts for inter-process interfaces.
  • To bias the synthesis towards solutions with small interfaces by bounding certificate size.

Main Methods:

  • A compositional synthesis algorithm is developed and extended.
  • Certificates are generated for each process, defining assume-guarantee contracts.
  • The algorithm is implemented and evaluated on scalable benchmarks.

Main Results:

  • The implemented approach is significantly faster than standard distributed synthesis methods when small certificates exist.
  • The overhead of synthesizing certificates is minimal even when large certificates are required.
  • The algorithm successfully constructs strategies and interface certificates for distributed systems.

Conclusions:

  • The presented compositional synthesis algorithm offers a practical and scalable solution for distributed systems.
  • The use of certificates enhances the formulation of local process requirements and system modularity.
  • The approach demonstrates efficiency gains over traditional methods, particularly for systems with manageable interfaces.