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October 9, 2025ACM Transactions on Computer SystemsOpen Access

A Comprehensive Study on Solving Memory Bloat Under Virtualization

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Authors

CLChuandong LiZTZhe TangDLDong Liu

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Overview

This research demonstrates HugeScope's effectiveness in reducing memory bloat in virtual machines, indicating significant performance improvements.

Key Points

  • HugeScope reduces memory bloat under virtualization, achieving improvements in performance and memory utilization.
  • Evaluation indicates that addressing hot bloat leads to performance gains of up to 61% over traditional methods like vTMM.
  • The framework provides page splitting and coalescing policies while incurring less than 4% overhead in typical scenarios.
  • By tackling usage bloat, HugeScope's HS-HP functionality eliminates excessive memory demand with performance enhancements of up to 11%.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68e80eb363e2e2f707877c3ehttps://doi.org/10.1145/3769429
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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. 2AHPS: Improving Memory Access Performance via Adaptive Huge Page Splitting in Tiered Memory Systems2026
  3. 3<i>xHeap</i> : Transparent Hugepage Optimizations forMemory Offloading2026
  4. 4Heterogeneous Memory Systems: A Comprehensive Analysis of Hotness-Based Approaches2025
  5. 5Optimizing Operating System Performance through Advanced Memory Management Techniques: A Comprehensive Study and Implementation2024