vtism: Efficient Tiered Memory Management for Virtual Machines with CXL

Virtual machines (VMs) impose increasing memory demands, exposing the capacity and cost limitations of traditional DRAM only memory architectures. To address this problem, heterogeneous DRAM+CXL tiered memory management systems have emerged as a promising solution. However, in virtualization environments, the semantic gap between guest and host abstraction layers, coupled with dynamic workload behaviors, hinders precise page tracking, classification, and efficient page migration across memory tiers.

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Publication Details

Published
2025-08-28
DOI
https://doi.org/10.1145/3757347.3759131
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

vtism: Efficient Tiered Memory Management for Virtual Machines with CXL

Min Xie, Lizhou Wu, Zhixing Lu, Yang Ou et al.
Parallel Computing and Optimization Techniques
article

vtism: Efficient Tiered Memory Management for Virtual Machines with CXL

Min Xie, Lizhou Wu, Zhixing Lu, Yang Ou, Zicong Wang, Xuran Ge, Mingche Lai, Zhenlong Song
article en

Abstract

Virtual machines (VMs) impose increasing memory demands, exposing the capacity and cost limitations of traditional DRAM only memory architectures. To address this problem, heterogeneous DRAM+CXL tiered memory management systems have emerged as a promising solution. However, in virtualization environments, the semantic gap between guest and host abstraction layers, coupled with dynamic workload behaviors, hinders precise page tracking, classification, and efficient page migration across memory tiers.

National University of Defense Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 76%
Parallel Computing and Optimization Techniques
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