SmartMD: A High Performance Deduplication Engine with Mixed Pages
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AbstractIn hypervisor-based virtualization environments, translation lookaside buffers (TLBs) misses may induce two-dimensional page table walks, which may incur a long access latency, and this issue becomes worse with ever increasing memory capacity. To reduce the overhead of TLB misses, large pages (e.g., 2M-pages) are widely supported in modern hardware platforms to reduce the number of page table entries. However, memory management with large pages can be inefficient in deduplication, leading to low utilization of memory, which is a precious resource for a variety of applications.

To simultaneously enjoy benefits of high performance by accessing memory with large pages (e.g., 2M-pages) and high deduplication rate by managing memory with base pages (e.g., 4K-pages), we propose Smart Memory Deduplciation, or SmartMD in short, which is an adaptive and efficient management scheme for mixed-page memory. Specifically, we propose two lightweight schemes to accurately monitor pages’ access frequency and repetition rate, and present a dynamic and adaptive conversion scheme to selectively split or reconstruct large pages. We implement a prototype system and conduct extensive experiments with various workloads. Experiment results show that SmartMD can simultaneously achieve high access performance similar to systems using large pages, and achieves a deduplication rate similar to that applying aggressive deduplication scheme (i.e., KSM) at the same time on base pages.
All Author(s) ListF. Guo, Y.K. Li, Y.L. Xu, S. Jiang, John C.S. Lui
Name of ConferenceUSENIX Annual Technical Conference (USENIX ATC '17), 2017
Start Date of Conference12/07/2017
End Date of Conference14/07/2017
Place of ConferenceSanta Clara
Country/Region of ConferenceUnited States of America
Year2017
LanguagesEnglish-United States

Last updated on 2018-20-01 at 18:15