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Nova: Safe Off-Heap Memory Allocation and Reclamation

Authors Ramy Fakhoury, Anastasia Braginsky, Idit Keidar, Yoav Zuriel

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ACM Subject Classification
  • Software and its engineering
Keywords
  • memory reclamation
  • concurrency
  • performance
  • off-heap allocation

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Abstract

In recent years, we begin to see Java-based systems embrace off-heap allocation for their big data demands. As of today, these system rely on simple ad-hoc garbage-collection solutions, which restrict the usage of off-heap data. This paper introduces the abstraction of safe off-heap memory allocation and reclamation (SOMAR), a thread-safe memory allocation and reclamation scheme for off-heap data in otherwise managed environments. SOMAR allows multi-threaded Java programs to use off-heap memory seamlessly. To realize this abstraction, we present Nova, Novel Off-heap Versioned Allocator, a lock-free SOMAR implementation. Our experiments show that Nova can be used to store off-heap data in Java data structures with better performance than ones managed by Java’s automatic GC. We further integrate Nova into the open-source Oak concurrent map library, which allows Oak to reclaim keys while the data structure is being accessed.

Cite As Get BibTex

Ramy Fakhoury, Anastasia Braginsky, Idit Keidar, and Yoav Zuriel. Nova: Safe Off-Heap Memory Allocation and Reclamation. In 27th International Conference on Principles of Distributed Systems (OPODIS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 286, pp. 15:1-15:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.OPODIS.2023.15

Author Details

Ramy Fakhoury
  • Technion, Haifa, Israel
Anastasia Braginsky
  • Red Hat Research, Ra'anana, Israel
Idit Keidar
  • Technion, Haifa, Israel
Yoav Zuriel
  • Technion, Haifa, Israel

Supplementary Materials

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