More Apps, Faster Hot-Launch on Mobile Devices via Fore/Background-aware GC-Swap Co-design
Jiacheng Huang, Yunmo Zhang, Junqiao Qiu, Yu Liang, Rachata Ausavarungnirun, Qingan Li, Chun Jason Xue
Abstract
Faster app launching is crucial for the user experience on mobile devices. Apps launched from a background cached state, called hot-launching, have much better performance than apps launched from scratch. To increase the number of hot-launches, leading mobile vendors now cache more apps in the background by enabling swap. Recent work also proposed reducing the Java heap to increase the number of cached apps. However, this paper found that existing methods deteriorate app hot-launch performance while increasing the number of cached apps. To simultaneously improve the number of cached apps and hot-launch performance, this paper proposes Fleet, a foreground/background-aware GC-swap co-design framework. To enhance app-caching capacity, Fleet limits the tracing range of GC to background objects only, avoiding touching long-lifetime foreground objects. To improve hot-launch performance, Fleet identifies objects that will be accessed during the next hot-launch and uses runtime information to guide the swap scheme in the OS. In addition, Fleet aggregates small objects with similar access patterns into the same pages to improve swap efficiency. We implemented Fleet in AOSP and evaluated its performance with different types of apps. Experimental results show that Fleet achieves a 1.59× faster hot-launch time and caches 1.21× more apps than Android.
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Cited by top-tier papers4
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- Archer: Adaptive Memory Compression with Page-Association-Rule Awareness for High-Speed Response of Mobile DevicesChanglong Li, Zongwei Zhu, Chao Wang, Fangming Liu et al.FAST 2025 · 5 citations
- PMR: Fast Application Response via Parallel Memory Reclaim on Mobile DevicesWentong Li, Li-Pin Chang, Yu Mao, Liang ShiUSENIX ATC 2025 · 4 citations
- LifeLine: An Object-Page Lifetime Alignment GC Enabling Minimal Memory Copying for Mobile DevicesJiacheng Huang, Yunmo Zhang, Qingan Li, Junqiao Qiu et al.OSDI 2026
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- End the Senseless Killing: Improving Memory Management for Mobile Operating SystemsNiel Lebeck, Arvind Krishnamurthy, Henry M. Levy, Irene ZhangUSENIX ATC 2020 · 61 citations
- Acclaim: Adaptive Memory Reclaim to Improve User Experience in Android SystemsYu Liang, Jinheng Li, Rachata Ausavarungnirun, Riwei Pan et al.USENIX ATC 2020 · 49 citations
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- ASAP: Fast Mobile Application Switch via Adaptive PrepagingSam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae et al.USENIX ATC 2021 · 31 citations
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