ARIMA-Based Aging Prediction Method for Cloud Server System-Reference-Cited by-同舟云学术

ARIMA-Based Aging Prediction Method for Cloud Server System

Published:2021-01-01 Issue:2 Volume:1043 Page:022021
ISSN:1757-8981
Container-title:IOP Conference Series: Materials Science and Engineering
language:
Short-container-title:IOP Conf. Ser.: Mater. Sci. Eng.

Author:

Meng Haining,Shi Yuekai,Qu Yilin,Li Junhuai,Liu Jianjun

Abstract

Abstract Long-running software system tends to show performance degradation and sudden failures, due to error accumulation or resource exhaustion over time. This phenomenon is usually called software aging. Software aging is an important factor that influences software reliability. This paper presents a prediction method to investigate software aging in an OpenStack cloud system. At first, the performance data in an OpenStack cloud system is monitored and collected. Then, an autoregressive integrated moving averages (ARIMA) approach is used to predict the performance data. Finally, the experimental results and statistical analysis of collected data validate the presence of software aging in the OpenStack cloud system.

Publisher

IOP Publishing

Subject

General Medicine

Link

https://iopscience.iop.org/article/10.1088/1757-899X/1043/2/022021/pdf

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