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Nested, but Separate: Isolating Unrelated Critical Sections in Real-Time Nested Locking

Authors James Robb, Björn B. Brandenburg



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LIPIcs.ECRTS.2020.6.pdf
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James Robb
  • Reykjavik University, Iceland
Björn B. Brandenburg
  • Max Planck Institute for Software Systems, Kaiserslautern, Germany

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James Robb and Björn B. Brandenburg. Nested, but Separate: Isolating Unrelated Critical Sections in Real-Time Nested Locking. In 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 165, pp. 6:1-6:23, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.ECRTS.2020.6

Abstract

Prior work has produced multiprocessor real-time locking protocols that ensure asymptotically optimal bounds on priority inversion, that support fine-grained nesting of critical sections, or that are independence-preserving under clustered scheduling. However, while several protocols manage to come with two out of these three desirable features, no protocol to date accomplishes all three. Motivated by this gap in capabilities, this paper introduces the Group Independence-Preserving Protocol (GIPP), the first protocol to support fine-grained nested locking, guarantee a notion of independence preservation for fine-grained nested locking, and ensure asymptotically optimal priority-inversion bounds. As a stepping stone, this paper further presents the Clustered k-Exclusion Independence-Preserving Protocol (CKIP), the first asymptotically optimal independence-preserving k-exclusion lock for clustered scheduling. The GIPP and the CKIP rely on allocation inheritance (a.k.a. migratory priority inheritance) as a key mechanism to accomplish independence preservation.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time systems
Keywords
  • multiprocessor real-time locking
  • nested locking
  • independence preservation
  • suspension-oblivious analysis
  • priority inversion
  • asymptotically optimal blocking
  • RNLP
  • OMIP

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