Method of Resource Estimation Based on QoS in Edge Computing
Joint Authors
Wu, Jun-Hua
Li, Guangshun
Wang, Jiping
Song, Jianrong
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
With the development of Internet of Things, the number of network devices is increasing, and the cloud data center load increases; some delay-sensitive services cannot be responded to timely, which results in a decreased quality of service (QoS).
In this paper, we propose a method of resource estimation based on QoS in edge computing to solve this problem.
Firstly, the resources are classified and matched according to the weighted Euclidean distance similarity.
The penalty factor and Grey incidence matrix are introduced to correct the similarity matching function.
Then, we use regression-Markov chain prediction method to analyze the change of the load state of the candidate resources and select the suitable resource.
Finally, we analyze the precision and recall of the matching method through simulation experiment, validate the effectiveness of the matching method, and prove that regression-Markov chain prediction method can improve the prediction accuracy.
American Psychological Association (APA)
Li, Guangshun& Song, Jianrong& Wu, Jun-Hua& Wang, Jiping. 2018. Method of Resource Estimation Based on QoS in Edge Computing. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216220
Modern Language Association (MLA)
Li, Guangshun…[et al.]. Method of Resource Estimation Based on QoS in Edge Computing. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1216220
American Medical Association (AMA)
Li, Guangshun& Song, Jianrong& Wu, Jun-Hua& Wang, Jiping. Method of Resource Estimation Based on QoS in Edge Computing. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216220
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216220