Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing
Joint Authors
Wu, Jun-Hua
Li, Guangshun
Xu, Shuzhen
Ding, Heng
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-08
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
With the development of Internet of Things (IoT), the massive data generated by it forms big data, and the complexity of dealing with big data brings challenges to resource scheduling in edge computing.
In order to solve the problem of resource scheduling and improve the satisfaction of users in edge computing environment, we propose a user-oriented improved spectral clustering scheduling algorithm (ISCM) in this paper.
Based on the improved k-means algorithm, the ISCM algorithm solves the problem that the clustering result is sensitive to the initial value and realizes the reclustering, which makes the obtained clustering results more stable.
Finally, the edge computing resource scheduling scheme is obtained based on the clustering results.
The experimental results show that the resource scheduling scheme based on improved spectral clustering algorithm is superior to traditional spectral clustering algorithm in edge computing environment.
American Psychological Association (APA)
Li, Guangshun& Xu, Shuzhen& Wu, Jun-Hua& Ding, Heng. 2018. Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing. Scientific Programming،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1214740
Modern Language Association (MLA)
Li, Guangshun…[et al.]. Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing. Scientific Programming No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1214740
American Medical Association (AMA)
Li, Guangshun& Xu, Shuzhen& Wu, Jun-Hua& Ding, Heng. Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1214740
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214740