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	MFAP:Fair Allocation Between Fully Backlogged and Non-Fully Backlogged Applications
	Sui, Yan ; Yang, Chun ; Tong, Dong ; Liu, Xianhua ; Cheng, Xu
	2016
英文摘要	In this paper, we consider the problem of ensuring fairness in systems serving a mixture of fully backlogged applications, which continuously demand resources, and non-fully backlogged applications. We introduce a fairness metric, called interference fairness, the basic idea underlying which is that the interference caused by application A for another application B should be equal to that caused by B for A. To effectively and efficiently guarantee this fairness metric, we propose Mutual Fair Allocation Policy (MFAP), a simple and powerful resource sharing policy, and show how it guarantees interference fairness between any pair of applications. We also show that MFAP, unlike other viable policies, satisfies several highly desirable properties, including some from game theory, as well as common sense intuitions. As a use case, we implemented MFAP on a disk scheduling framework. The experimental results based on synthetic and real workloads show how our implementation achieved interference fairness and improved non-fully backlogged applications performance.; National Natural Science Foundation of China(NNSFC) grant NSFC [61300004]; CPCI-S(ISTP); suiyan@mprc.pku.edu.cn; yangchun@mprc.pku.edu.cn; tongdong@mprc.pku.edu.cn; liuxianhua@mprc.pku.edu.cn; chengxu@mprc.pku.edu.cn; 576-583
语种	英语
出处	IEEE 34th International Conference on Computer Design (ICCD)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459792]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Sui, Yan,Yang, Chun,Tong, Dong,et al. MFAP:Fair Allocation Between Fully Backlogged and Non-Fully Backlogged Applications. 2016-01-01.

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