A Monitoring Scheme Based on Artificial Intelligence in Mobile Edge Cloud Computing Environments

KIPS Transactions on Computer and Communication Systems, Vol. 7, No.2, pp.27-32, February 2018
10.3745/KTCCS.2018.7.2.027, Full Text

Abstract

One of the crucial issues in mobile edge cloud computing environments is to monitor mobile devices. Due to the inherit properties of mobile devices, they are prone to unstable behavior that leads to failures. In order to satisfy the service level agreement (SLA), the mobile edge cloud administrators should take appropriate measures through a monitoring scheme. In this paper, we propose a monitoring scheme of mobile devices based on artificial intelligence in mobile edge cloud computing environments. The proposed monitoring scheme is able to measure faults of mobile devices based on previous and current monitoring information. To this end, we adapt the hidden markov chain model, one of the artificial intelligence technologies, to monitor mobile devices. We validate our monitoring scheme based on the hidden markov chain model. The proposed monitoring scheme can also be used in general cloud computing environments to monitor virtual machines.


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Cite this paper

[KIPS Transactions Style]
J. Lim, H. Choi, and H. Yu, "A Monitoring Scheme Based on Artificial Intelligence in Mobile Edge Cloud Computing Environments," KIPS Transactions on Computer and Communication Systems, Vol.7, No.2, pp.27-32, 2018, DOI: 10.3745/KTCCS.2018.7.2.027.

[IEEE Style]
JongBeom Lim, HeeSeok Choi, and HeonChang Yu, "A Monitoring Scheme Based on Artificial Intelligence in Mobile Edge Cloud Computing Environments," KIPS Transactions on Computer and Communication Systems, vol. 7, no. 2, pp. 27-32, 2018. DOI: 10.3745/KTCCS.2018.7.2.027.

[ACM Style]
Lim, J., Choi, H., and Yu, H. 2018. A Monitoring Scheme Based on Artificial Intelligence in Mobile Edge Cloud Computing Environments. KIPS Transactions on Computer and Communication Systems, 7, 2, (2018), 27-32. DOI: 10.3745/KTCCS.2018.7.2.027.