Improving response time of task offloading by random forest, extra-trees and adaboost classifiers in mobile fog computing
Joint Authors
Darbanian, Ilham
Rahbari, Dadmihr
Zadah, Ruqayah Ghani
Nickray, Muhsin
Source
Jordanian Journal of Computetrs and Information Technology
Issue
Vol. 6, Issue 4 (31 Dec. 2020), pp.345-360, 16 p.
Publisher
Princess Sumaya University for Technology
Publication Date
2020-12-31
Country of Publication
Jordan
No. of Pages
16
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
The application of computing resources through mobile devices (MDs) is called Mobile Computing; between cloud datacentres and devices, it is known as (Mobile) Fog Computing (MFC).
We ran Cloudsim simulator to offload tasks in suitable Fog Devices (FDs), cloud or mobile.
We stored the outputs of the simulator as a dataset with features and a target class.
A target class is a device in which tasks are offloaded and features of tasks are authentication, confidentiality, integrity, availability, capacity, speed and cost.
Decision Tree (DT), Random Forest (RF), Extra-trees and AdaBoost classifiers were classified based on attribute values and the plot of trees was drawn.
According to the plot of these classifiers, we extracted each sequential condition from root to leaves and inserted it into the simulator.
What these classifiers do is to improve the conditions that should be inserted in the corresponding section of the simulator.
We improved the response time of offloading by Random Forest, Extra-trees and AdaBoost over Decision Tree.
American Psychological Association (APA)
Darbanian, Ilham& Rahbari, Dadmihr& Zadah, Ruqayah Ghani& Nickray, Muhsin. 2020. Improving response time of task offloading by random forest, extra-trees and adaboost classifiers in mobile fog computing. Jordanian Journal of Computetrs and Information Technology،Vol. 6, no. 4, pp.345-360.
https://search.emarefa.net/detail/BIM-1415916
Modern Language Association (MLA)
Darbanian, Ilham…[et al.]. Improving response time of task offloading by random forest, extra-trees and adaboost classifiers in mobile fog computing. Jordanian Journal of Computetrs and Information Technology Vol. 6, no. 4 (Dec. 2020), pp.345-360.
https://search.emarefa.net/detail/BIM-1415916
American Medical Association (AMA)
Darbanian, Ilham& Rahbari, Dadmihr& Zadah, Ruqayah Ghani& Nickray, Muhsin. Improving response time of task offloading by random forest, extra-trees and adaboost classifiers in mobile fog computing. Jordanian Journal of Computetrs and Information Technology. 2020. Vol. 6, no. 4, pp.345-360.
https://search.emarefa.net/detail/BIM-1415916
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 358-360
Record ID
BIM-1415916