본문 바로가기
  • Home

CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(4), pp.105-112
  • DOI : 10.9708/jksci.2020.25.04.105
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 25, 2020
  • Accepted : April 9, 2020
  • Published : April 30, 2020

Sang-Yong Choi 1

1영남이공대학교

Accredited

ABSTRACT

In the fourth industrial revolution represented by hyper-connected and intelligence, cloud computing is drawing attention as a technology to realize big data and artificial intelligence technologies. The proliferation of cloud computing has also increased the number of threats. In this paper, we propose one way to effectively monitor to the resources assigned to clients by the IaaS service provider. The method we propose in this paper is to model the use of resources allocated to cloud systems using ARIMA algorithm, and it identifies abnormal situations through the use and trend analysis. Through experiments, we have verified that the client service provider can effectively monitor using the proposed method within the minimum amount of access to the client systems.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.