Research on Preprocessing Method of Performance Monitoring Data in Cloud Environment

DOI

10.2991/wcnme-19.2019.33How to use a DOI?

Keywords

PMU; cloud environment; data preprocessing

Abstract

The analysis of performance monitoring unit(PMU) can not only effectively characterize the operation characteristics of the program, but also provide a basis for performance optimization. Because of the huge number of PMU performance counters in cloud environment, there are some problems such as low monitoring efficiency and low data quality. Based on this, this paper starts with filling missing values and replacing them, uses regression method to complete missing values, uses local filtering method to filter out outliers, and uses the method of data preprocessing based on knowledge base to effectively improve the monitoring efficiency. The experimental results show that the scheme can effectively analyze the possible impact of PMU execution on program operation, and the similarity of the reference value of the processed results is higher than 80%, up to 95%.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Xiao Zhu
PY  - 2019/06
DA  - 2019/06
TI  - Research on Preprocessing Method of Performance Monitoring Data in Cloud Environment
BT  - Proceedings of the 2019 International Conference on Wireless Communication, Network and Multimedia Engineering (WCNME 2019)
PB  - Atlantis Press
SP  - 139
EP  - 142
SN  - 2352-538X
UR  - https://doi.org/10.2991/wcnme-19.2019.33
DO  - 10.2991/wcnme-19.2019.33
ID  - Zhu2019/06
ER  -