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BRUMM: A Case for Predictable Memory Reclamation (Artifact)

Authors Viktor Reusch , Michael Roitzsch , Horst Schirmeier

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Artifact Description

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DARTS.12.2.3.pdf
  • Filesize: 490 kB
  • 3 pages

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Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time operating systems
  • Security and privacy → Operating systems security
  • Security and privacy → Intrusion/anomaly detection and malware mitigation
  • Software and its engineering → Memory management
  • Computer systems organization → Availability
Keywords
  • Resource Reclamation
  • Main Memory
  • Accounting
  • Operating System
  • Microkernel
  • Capability
  • L4Re

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Artifact

Abstract

This artifact contains all source code material that has been created for the paper: "BRUMM: A Case for Predictable Memory Reclamation". BRUMM is a mechanism for accounting for the predicted reclamation latency of user-space memory mappings. It enables the system operator to limit reclamation latency via configurable, per-process-group budgets. A prototype of BRUMM has been implemented in the L4Re microkernel-based operating system. The artifact includes the modified L4Re sources, the benchmark programs, and the evaluation scripts for generating plots. This artifact description provides details about the artifact and how to get started reproducing the paper’s results.

Cite As Get BibTex

Viktor Reusch, Michael Roitzsch, and Horst Schirmeier. BRUMM: A Case for Predictable Memory Reclamation (Artifact). In Special Issue of the 38th European Conference on Real-Time Systems (ECRTS 2026). Dagstuhl Artifacts Series (DARTS), Volume 12, Issue 2, pp. 3:1-3:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/DARTS.12.2.3

Author Details

Viktor Reusch
  • Barkhausen Institut, Dresden, Germany
Michael Roitzsch
  • Barkhausen Institut, Dresden, Germany
Horst Schirmeier
  • TU Dresden, Germany

Related Article

  • Viktor Reusch, Michael Roitzsch, and Horst Schirmeier, "BRUMM: A Case for Predictable Memory Reclamation", in 38th European Conference on Real-Time Systems (ECRTS 2026), LIPIcs, Vol. 375, pp. 15:1-15:24, 2026. https://doi.org/10.4230/LIPIcs.ECRTS.2026.15
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