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	SECapacity: A Secure Capacity Scheduler in YARN
	Dong, Chuntao ; Shen, Qingni ; Cheng, Lijing ; Yang, Yahui ; Wu, Zhonghai
	2016
关键词	Big data platform Hadoop User-classification based scheduling SECapacity scheduler
英文摘要	In this paper, aiming to the requirement that isolation of user's job and data security, we deeply analyze the mainstream computing framework Hadoop YARN, and start with the core module of YARN - resource scheduler. Using the existing label-based scheduling policy, we design and implement a SECapacity scheduler. Our main work including: First, according to the principle of least privilege, we propose a user-classification based scheduling policy, which divided users to several levels based on their attributes, then restrict which nodes could be used by this user according to the user level. Second, we design and implement a SECapacity scheduler to implement user-classification based scheduling. Third, we verify and analyze the effectiveness and efficiency of SECapacity scheduler, the results shows that SECapacity scheduler can ensure 100% isolation of users at different levels, and the performance overhead is about 6.95%.; CPCI-S(ISTP); chuntaodong@pku.edu.cn; qingnishen@ss.pku.edu.cn; morleycheng@pku.edu.cn; yhyang@ss.pku.edu.cn; wuzh@ss.pku.edu.cn; 184-194; 9977
语种	英语
出处	18th International Conference on Information and Communications Security (ICICS)
DOI标识	10.1007/978-3-319-50011-9_15
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/460007]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Dong, Chuntao,Shen, Qingni,Cheng, Lijing,et al. SECapacity: A Secure Capacity Scheduler in YARN. 2016-01-01.

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