Effectively Virtual Page Prefetching via Spatial-Temporal Patterns for Memory-intensive Cloud Applications

In today's data-driven era, the explosive growth of global data volume has led to an increasing consumption of computing and storage resources. Effective management of virtual machines (VMs) memory usage is critical for cloud vendors to optimize system performance and resource utilization. Existing memory prefetching methods often slow down system performance, creating a difficult balance between maintaining service quality and optimizing resource use. For instance, Leap, which primarily utilizes address information, performs poorly in VM environments. The main issue is the performance drop caused by the reuse of memory resources in virtualized environments, a common situation in public clouds.

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Published
2025-02-28
DOI
https://doi.org/10.1145/3710848.3710865
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Effectively Virtual Page Prefetching via Spatial-Temporal Patterns for Memory-intensive Cloud Applications

Zhengwei Qi, Zhixiang Wei, Yun Wang, Yixiao Xu et al.
Cloud Computing and Resource Management
article

Effectively Virtual Page Prefetching via Spatial-Temporal Patterns for Memory-intensive Cloud Applications

Zhengwei Qi, Zhixiang Wei, Yun Wang, Yixiao Xu, Mei‐Rong Huang, Yibin Shen, Liang Chen, Bangping Luo, Tianmai Deng
article en

Abstract

In today's data-driven era, the explosive growth of global data volume has led to an increasing consumption of computing and storage resources. Effective management of virtual machines (VMs) memory usage is critical for cloud vendors to optimize system performance and resource utilization. Existing memory prefetching methods often slow down system performance, creating a difficult balance between maintaining service quality and optimizing resource use. For instance, Leap, which primarily utilizes address information, performs poorly in VM environments. The main issue is the performance drop caused by the reuse of memory resources in virtualized environments, a common situation in public clouds.

Shanghai Jiao Tong University (CN), Alibaba Group (China) (CN)
Openalex Percentile: Top 96%
Cloud Computing and Resource Management
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