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@article{ART002580154},
author={Sang-Yong Choi},
title={CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={4},
pages={105-112},
doi={10.9708/jksci.2020.25.04.105}

TY - JOUR
AU - Sang-Yong Choi
TI - CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 4
PB - The Korean Society Of Computer And Information
SP - 105
EP - 112
SN - 1598-849X
AB - 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.
KW - Cloud computing;ARIMA algorithm;Machine learning;Resource;Monitoring
DO - 10.9708/jksci.2020.25.04.105
ER -

Sang-Yong Choi. (2020). CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning. Journal of The Korea Society of Computer and Information, 25(4), 105-112.

Sang-Yong Choi. 2020, "CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning", Journal of The Korea Society of Computer and Information, vol.25, no.4 pp.105-112. Available from: doi:10.9708/jksci.2020.25.04.105

Sang-Yong Choi "CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning" Journal of The Korea Society of Computer and Information 25.4 pp.105-112 (2020) : 105.

Sang-Yong Choi. CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning. 2020; 25(4), 105-112. Available from: doi:10.9708/jksci.2020.25.04.105

Sang-Yong Choi. "CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning" Journal of The Korea Society of Computer and Information 25, no.4 (2020) : 105-112.doi: 10.9708/jksci.2020.25.04.105

Sang-Yong Choi. CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning. Journal of The Korea Society of Computer and Information, 25(4), 105-112. doi: 10.9708/jksci.2020.25.04.105

Sang-Yong Choi. CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning. Journal of The Korea Society of Computer and Information. 2020; 25(4) 105-112. doi: 10.9708/jksci.2020.25.04.105

Sang-Yong Choi. CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning. 2020; 25(4), 105-112. Available from: doi:10.9708/jksci.2020.25.04.105

Sang-Yong Choi. "CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning" Journal of The Korea Society of Computer and Information 25, no.4 (2020) : 105-112.doi: 10.9708/jksci.2020.25.04.105