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	BDTune: Hierarchical Correlation-based Performance Analysis and Rule-based Diagnosis for Big Data Systems
	Ren, Rui ; Jia, Zhen ; Wang, Lei ; Zhan, Jianfeng ; Yi, Tianxu
	2016
关键词	Big Data Systems Correlation-based Analysis Bottleneck Detection Root Causes Diagnosis
英文摘要	Although big data systems are in widespread use and there have much research efforts for improving big data systems performance, efficiently analysing and diagnosing performance bottlenecks over these massively distributed systems remain a major challenge. In this paper, we propose a hierarchical correlation-based analysis and rule-based diagnostic approach for big data systems. The key approaches lie in identifying performance bottlenecks, classifying root causes, analyzing performance according to multi-level performance metrics, and setting diagnostic rules for performance tuning. Based on this approach, we have implemented BDTune-a lightweight, extensible and transparent tool that can provide valuable insights into performance of big data applications with a very low overhead. We also report our experience on how to use BDTune to conduct performance analysis and performance bottlenecks diagnosis, and demonstrate BDTune can help users find the performance bottlenecks and provide optimization recommendations.; Major Program of National Natural Science Foundation of China [61432006]; National High Technology Research and Development Program of China [2015AA015308]; National Natural Science Foundation of China [61502279]; CPCI-S(ISTP); 555-562
语种	英语
出处	4th IEEE International Conference on Big Data (Big Data)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/470185]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Ren, Rui,Jia, Zhen,Wang, Lei,et al. BDTune: Hierarchical Correlation-based Performance Analysis and Rule-based Diagnosis for Big Data Systems. 2016-01-01.

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