Rethinking Tiered Memory Management in Cloud Data Centers

Cloud environments continue to experience substantial memory wastage due to inefficient resource sharing and workload variability. Emerging Compute Express Link (CXL) technology offers fabric-attached memory that can expand memory capacity despite added access latency, but existing VM allocation strategies in the Cloud have critical limitations. The static partitioning of local DRAM and CXL memory underutilize capacity, and cannot adapt to dynamic demands. Conversely, Host-managed tiering (software-managed placement) relies on page-table scans or sampling, which incur high CPU overhead.

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Published
2025-11-19
DOI
https://doi.org/10.1145/3772052.3772213
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Rethinking Tiered Memory Management in Cloud Data Centers

Tong Xing, Antonio Barbalace, Jiaxun Yang
Cloud Computing and Resource Management
article

Rethinking Tiered Memory Management in Cloud Data Centers

Tong Xing, Antonio Barbalace, Jiaxun Yang
article en

Abstract

Cloud environments continue to experience substantial memory wastage due to inefficient resource sharing and workload variability. Emerging Compute Express Link (CXL) technology offers fabric-attached memory that can expand memory capacity despite added access latency, but existing VM allocation strategies in the Cloud have critical limitations. The static partitioning of local DRAM and CXL memory underutilize capacity, and cannot adapt to dynamic demands. Conversely, Host-managed tiering (software-managed placement) relies on page-table scans or sampling, which incur high CPU overhead.

University of Edinburgh (GB)
Decent work and economic growth
Openalex Percentile: Top 19%
Cloud Computing and Resource Management
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