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

文献类型：期刊论文

作者Zhang, Yangmei3; Shen, Fanfan1; Li, Mengquan4; Wu, Chao2
刊名MICROPROCESSORS AND MICROSYSTEMS
出版日期2023-09-01
卷号101页码:10
关键词I O stack Cyber-physical system O idle time Prediction
ISSN号0141-9331
DOI10.1016/j.micpro.2023.104896
英文摘要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.
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
语种英语
WOS记录号WOS:001050731600001
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/21361]  
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.Nanjing Audit Univ, Sch Comp Sci, Nanjing, Peoples R China
2.Northeastern Univ, Sch Elect & Comp Engn, Boston, MA USA
3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing, Peoples R China
4.Hunan Univ, Sch Comp Sci & Elect Engn, Changsha, Peoples R China
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.

入库方式： OAI收割

来源：计算技术研究所

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