Predicting for I/O stack optimizations on cyber-physical systems

doi:10.1016/j.micpro.2023.104896

	Predicting for I/O stack optimizations on cyber-physical systems
	Zhang, Yangmei 1; Shen, Fanfan 2; Li, Mengquan 3; Wu, Chao 4
	2023-09-01
发表期刊	MICROPROCESSORS AND MICROSYSTEMS
ISSN	0141-9331
卷号	101 页码:10
摘要	I/O stack has been identified as the key component to system performance on cyber-physical systems, e.g., mobile devices. A lot of works have been proposed on I/O stack optimization. The state-of-the-art operating systems need to perform many system management operations to achieve better performance. However, the additional managements activities of operating system could greatly affect user experience if these activities are triggered at improper times. This paper presents a novel prediction framework so that system management activities can be performed at IO idle time to avoid impact on user experience. First, it collects mobile device using information. With the collected information, the proposed framework predicted IO idle time which can be used to handle system activities in a cost-free manner. Evaluation results show that the proposed framework predicts I/O state with accuracy of 78.62% on average while introducing negligible overhead.
关键词	I O stack Cyber-physical system O idle time Prediction
DOI	10.1016/j.micpro.2023.104896
收录类别	SCI
语种	英语
资助项目	National Natural Sci-ence Foundation of China[62106146] ; National Natural Sci-ence Foundation of China[62202159] ; National Natural Sci-ence Foundation of China[61902189] ; Basic Science (Natural Science) Research Project of Colleges and Univer-sities in Jiangsu Province, China[22KJA520004] ; Key Research Topics of Jiangsu Education Science 14th Five-Year plan, China[C-b/2021/01/26]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:001050731600001
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21362
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shen, Fanfan
作者单位	1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing, Peoples R China 2.Nanjing Audit Univ, Sch Comp Sci, Nanjing, Peoples R China 3.Hunan Univ, Sch Comp Sci & Elect Engn, Changsha, Peoples R China 4.Northeastern Univ, Sch Elect & Comp Engn, Boston, MA USA
推荐引用方式 GB/T 7714	Zhang, Yangmei,Shen, Fanfan,Li, Mengquan,et al. Predicting for I/O stack optimizations on cyber-physical systems[J]. MICROPROCESSORS AND MICROSYSTEMS,2023,101:10.
APA	Zhang, Yangmei,Shen, Fanfan,Li, Mengquan,&Wu, Chao.(2023).Predicting for I/O stack optimizations on cyber-physical systems.MICROPROCESSORS AND MICROSYSTEMS,101,10.
MLA	Zhang, Yangmei,et al."Predicting for I/O stack optimizations on cyber-physical systems".MICROPROCESSORS AND MICROSYSTEMS 101(2023):10.