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An Efficient Memory Management for Mobile Operating Systems Based on Prediction of relaunch distance

Computer Systems Science & Engineering 2023年第10期47卷 171-186页

作者： Jaehwan Lee Sangoh Park Department of Computer Science and Engineering Kongju National UniversityCheonan31080Korea School of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea

Recently,various mobile apps have included more features to improve user *** operating systems load as many apps into memory for faster app launching and *** least recently used(LRU)-based termination of cached apps is a widely adopted approach when free space of the main memory is running ***,the LRUbased cached app termination does not distinguish between frequently or infrequently used *** app launch performance degrades if LRU terminates frequently used *** studies have suggested the potential of using users’app usage patterns to predict the next app launch and address the limitations of the current least recently used(LRU)***,existing methods only focus on predicting the probability of the next launch and do not consider how soon the app will launch *** this paper,we present a new approach for predicting future app launches by utilizing the relaunch *** define the relaunch distance as the interval between two consecutive launches of an app and propose a memory management based on app relaunch prediction(M2ARP).M2ARP utilizes past app usage patterns to predict the relaunch *** uses the predicted relaunch distance to determine which apps are least likely to be launched soon and terminate them to improve the efficiency of the main memory.

关键词： Mobile operating systems memory management background app caching relaunch distance neural networks

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