An Approach for Dynamic Scheduling of Data Analysis Algorithms

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 数字工厂研究室

	An Approach for Dynamic Scheduling of Data Analysis Algorithms
	Qin, Zhaobo 1; Zheng ZY(郑泽宇)3,4,5 ; Gao Y(高原)3,4,5; Gui J(桂珺)1,2,3,4,5
	2019
会议日期	March 15-18, 2019
会议地点	Suzhou, China
关键词	data analysis Scheduling Strategy Monitoring algorithm
页码	53-57
英文摘要	Dynamic scheduling of a set of algorithms is a key problem for data analysis platform. In this paper, we propose an approach to efficiently execute and monitor algorithms. Our approach classifies all algorithms into timing tasks, realtime tasks C and equal interval times tasks and configures them separately. An intelligent strategy performs configuration checking for algorithms before scheduling them dynamically. The execution of each algorithm is monitored and controlled according to configuration and feedbacked operating information. Based on this approach, we develop an intelligent data analysis platform with more than 100 algorithms. By stable running for months, our approach is proved to be accurate and effective, and can be applied in many platforms.
产权排序	1
会议录	2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-7281-1282-4
WOS记录号	WOS:000469958800010
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/24684]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Gui J(桂珺)
作者单位	1.School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang 110016, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 5.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Qin, Zhaobo,Zheng ZY,Gao Y,et al. An Approach for Dynamic Scheduling of Data Analysis Algorithms[C]. 见:. Suzhou, China. March 15-18, 2019.