Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence

JongBeom Lim, DaeWon Lee, Kwang-Sik Chung and HeonChang Yu
Volume: 15, No: 5, Page: 1192 ~ 1200, Year: 2019
10.3745/JIPS.04.0139
Keywords: Artificial Intelligence, Cloud Computing, Edge-Cloud Systems, Fog Computing, Resource Management
Full Text:

Abstract
Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

Article Statistics
Multiple requests among the same broswer session are counted as one view (or download).
If you mouse over a chart, a box will show the data point's value.


Cite this article
IEEE Style
J. Lim, D. Lee, K. Chung and H. Yu, "Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence," Journal of Information Processing Systems, vol. 15, no. 5, pp. 1192~1200, 2019. DOI: 10.3745/JIPS.04.0139.

ACM Style
JongBeom Lim, DaeWon Lee, Kwang-Sik Chung, and HeonChang Yu. 2019. Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence, Journal of Information Processing Systems, 15, 5, (2019), 1192~1200. DOI: 10.3745/JIPS.04.0139.