iAware: Interaction Aware Task Scheduling for Reducing Resource Contention in Mobile Systems

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE ACM Transactions on Embedded Computing Systems Pub Date : 2023-09-09 DOI:10.1145/3609391
Yongchun Zheng, Changlong Li, Yi Xiong, Weihong Liu, Cheng Ji, Zongwei Zhu, Lichen Yu
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Abstract

To ensure the user experience of mobile systems, the foreground application can be differentiated to minimize the impact of background applications. However, this article observes that system services in the kernel and framework layer, instead of background applications, are now the major resource competitors. Specifically, these service tasks tend to be quiet when people rarely interact with the foreground application and active when interactions become frequent, and this high overlap of busy times leads to contention for resources. This article proposes iAware, an interaction-aware task scheduling framework in mobile systems. The key insight is to make use of the previously ignored idle period and schedule service tasks to run at that period. iAware quantify the interaction characteristic based on the screen touch event, and successfully stagger the periods of frequent user interactions. With iAware, service tasks tend to run when few interactions occur, for example, when the device’s screen is turned off, instead of when the user is frequently interacting with it. iAware is implemented on real smartphones. Experimental results show that the user experience is significantly improved with iAware. Compared to the state-of-the-art, the application launching speed and frame rate are enhanced by 38.89% and 7.97% separately, with no more than 1% additional battery consumption.
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iAware:用于减少移动系统资源争用的交互感知任务调度
为了保证移动系统的用户体验,可以对前台应用进行区分,尽量减少后台应用的影响。然而,本文注意到内核和框架层的系统服务,而不是后台应用程序,现在是主要的资源竞争者。具体来说,当人们很少与前台应用程序交互时,这些服务任务往往是安静的,而当交互变得频繁时,这些服务任务往往是活跃的,而这种繁忙时间的高度重叠会导致对资源的争夺。本文提出了一种基于交互感知的移动系统任务调度框架iAware。关键是要利用之前忽略的空闲期,并安排服务任务在此期间运行。iAware量化了基于屏幕触摸事件的交互特征,并成功地错开了频繁用户交互的周期。使用iAware,服务任务往往在交互很少的时候运行,例如,当设备的屏幕关闭时,而不是当用户经常与它交互时。iAware在真正的智能手机上实现。实验结果表明,iAware显著改善了用户体验。与最先进的技术相比,应用程序启动速度和帧率分别提高了38.89%和7.97%,电池消耗不超过1%。
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来源期刊
ACM Transactions on Embedded Computing Systems
ACM Transactions on Embedded Computing Systems 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
138
审稿时长
6 months
期刊介绍: The design of embedded computing systems, both the software and hardware, increasingly relies on sophisticated algorithms, analytical models, and methodologies. ACM Transactions on Embedded Computing Systems (TECS) aims to present the leading work relating to the analysis, design, behavior, and experience with embedded computing systems.
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