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July 15, 2026ACM SIGOPS Operating Systems Review

xHeap : Transparent Hugepage Optimizations forMemory Offloading

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Authors

IMIoannis MalliotakisAPAnastasios PapagiannisMMManolis Marazakis

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Overview

Randomized trial evaluates xHeap's impact on memory performance and efficiency in datacenters, suggesting significant improvements.

Key Points

  • The aim is to enhance memory management by optimizing the use of hugepages for better performance in applications requiring large heaps.
  • Designed xHeap as a loadable module in the Linux kernel with minimal changes.
  • Enabled fine granularity support for regular and hugepages.
  • Implemented concurrent and asynchronous promotions based on application behavior.
  • xHeap reduces dTLB miss cycles by up to 15× compared to traditional methods.
  • Performance improves by up to 76% when offloading 15-25% of application memory.
  • Comparison with swap using transparent hugepages highlights significant efficiency benefits.

Cite This Study

Malliotakis et al. (2026) studied this question.

synapsesocial.com/papers/6a57236f88b21df875480320https://doi.org/10.1145/3830422.3830432
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Effective Huge Page Strategies for TLB Miss Reduction in Nested Virtualization2024
  2. 2A Comprehensive Study on Solving Memory Bloat Under Virtualization2025
  3. 3AHPS: Improving Memory Access Performance via Adaptive Huge Page Splitting in Tiered Memory Systems2026
  4. 4TMO: Transparent Memory Offloading in Datacenters2025
  5. 5FlexHeap: Dynamic I/O-Aware Heap Resizing for Managed Applications2026