Hierarchical diagnostic approach for performance problems in cloud computing platforms
|更新时间:2024-10-14
|
Hierarchical diagnostic approach for performance problems in cloud computing platforms
Vol. 32, Issue 7, Pages: 114-124(2011)
作者机构:
1. 国防科学技术大学并行与分布处理国家重点实验室
2. 阿里巴巴云计算公司计算平台
3. 香港中文大学深圳研究院
作者简介:
基金信息:
DOI:
CLC:TP3
Published:2011
稿件说明:
移动端阅览
MI Hai-bo1, WANG Huai-min1, CAI Hua2, et al. Hierarchical diagnostic approach for performance problems in cloud computing platforms[J]. 2011, 32(7): 114-124.
DOI:
MI Hai-bo1, WANG Huai-min1, CAI Hua2, et al. Hierarchical diagnostic approach for performance problems in cloud computing platforms[J]. 2011, 32(7): 114-124.DOI:
Hierarchical diagnostic approach for performance problems in cloud computing platforms
摘要
提出一种层次式在线性能问题诊断方法——Magnifier
将用户请求执行路径划分为构件层、模块层和方法层3个层次
自顶向下逐层定位问题根源。基于阿里巴巴云计算平台的实验结果表明
Magnifier能够在调用方法种类多、执行路径复杂的条件下
快速定位出性能降级的主要原因。
Abstract
A hierarchical diagnosis approach
namely Magnifier
was proposed
which models the execution path graph of a user request as component layer
module layer and function layer
and detects anomalies from higher layer to lower layer separately.Extensive experiments were conducted on the Alibaba cloud computing platform.The results indicate that
under the conditions of large volume of data and high complexity of execution paths
Magnifier can accurately and efficiently locate the prime causes of performance degradation.