Task Allocation Optimization Scheme Based on Queuing Theory for Mobile Edge Computing in 5G Heterogeneous Networks
Joint Authors
Wang, Lu
Zhang, Yonggang
Xue, Jianbin
Wang, Zesen
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-29
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Telecommunications Engineering
Abstract EN
As an indispensable key technology in 5G Internet of Things (IoT), mobile edge computing (MEC) provides a variety of computing and services at the edge of the network for energy-limited and computation-constrained mobile devices (MDs).
In this paper, we use the multiaccess characteristics of 5G heterogeneous networks and queuing theory.
By considering the heterogeneity of base stations, we establish the waiting and transmission consumption model when tasks are offloaded.
Then, the problem of jointly optimizing the energy and delay consumption of MDs is proposed.
We adopt an optimization scheme based on task assignment probability; moreover, the task assignment algorithm based on quasi-Newton interior point (TA-QNIP) method is developed to solve the optimization issue.
Compared with the Newton interior point algorithm, the proposed algorithm accelerates the convergence speed and reduces the complexity of the algorithm and is closer to the objective function optimal solution.
The simulation results demonstrate that the proposed method can reduce the total consumption of MDs effectively; furthermore, the performance of the algorithm is proved.
American Psychological Association (APA)
Xue, Jianbin& Wang, Zesen& Zhang, Yonggang& Wang, Lu. 2020. Task Allocation Optimization Scheme Based on Queuing Theory for Mobile Edge Computing in 5G Heterogeneous Networks. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1192332
Modern Language Association (MLA)
Xue, Jianbin…[et al.]. Task Allocation Optimization Scheme Based on Queuing Theory for Mobile Edge Computing in 5G Heterogeneous Networks. Mobile Information Systems No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1192332
American Medical Association (AMA)
Xue, Jianbin& Wang, Zesen& Zhang, Yonggang& Wang, Lu. Task Allocation Optimization Scheme Based on Queuing Theory for Mobile Edge Computing in 5G Heterogeneous Networks. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1192332
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192332