PMR: Fast Application Response via Parallel Memory Reclaim on Mobile Devices

Wentong Li, Li Pin Chang, Yu Mao, Liang Shi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

>Mobile applications exhibit increasingly high memory demands, making efficient memory management critical for enabling fast and responsive user experiences. However, our analysis of Android systems reveals inefficiencies in the current kernel-level memory reclaim design, which struggles to meet the performance demands of modern apps and fails to exploit upgraded storage devices. To address this challenge, we propose PMR, a parallel memory reclaim scheme. PMR introduces two key techniques: proactive page shrinking (PPS) and storage-friendly page writeback (SPW). PPS enhances the memory reclaim process by decoupling the time-consuming steps of page shrinking and page writeback for parallel execution, while SPW optimizes write I/O operations through batched unmapping of victim pages for bulk, efficient writeback. Experimental results on real-world mobile devices demonstrate that PMR can improve application response times by up to 43.6% compared to the original Android memory reclaim approach.

Original languageEnglish
Title of host publicationProceedings of the 2025 USENIX Annual Technical Conference, ATC 2025
PublisherUSENIX Association
Pages1569-1584
Number of pages16
ISBN (Electronic)9781939133489
StatePublished - 2025
Event2025 USENIX Annual Technical Conference, ATC 2025 - Boston, United States
Duration: 7 Jul 20259 Jul 2025

Publication series

NameProceedings of the 2025 USENIX Annual Technical Conference, ATC 2025

Conference

Conference2025 USENIX Annual Technical Conference, ATC 2025
Country/TerritoryUnited States
CityBoston
Period7/07/259/07/25

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