Task Allocation Optimization Scheme Based on Queuing Theory for Mobile Edge Computing in 5G Heterogeneous Networks
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 hete...
Main Authors: | Jianbin Xue, Zesen Wang, Yonggang Zhang, Lu Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Mobile Information Systems |
Online Access: | http://dx.doi.org/10.1155/2020/1501403 |
Similar Items
-
Energy-Efficient Task Allocation of Heterogeneous Resources in Mobile Edge Computing
by: Xi Liu, et al.
Published: (2021-01-01) -
Mobile Edge Computing Based Task Offloading and Resource Allocation in 5G Ultra-Dense Networks
by: Xin Chen, et al.
Published: (2019-01-01) -
Joint Congestion Control and Resource Allocation for Delay-Aware Tasks in Mobile Edge Computing
by: Shichao Li, et al.
Published: (2021-01-01) -
A Study on Queuing Buffer Allocation in a Differentiated Service Queuing Scheme with Time Token Concept
by: Chung,Ming-Hung, et al.
Published: (2009) -
Joint Computation Offloading and Resource Allocation Optimization in Heterogeneous Networks With Mobile Edge Computing
by: Jing Zhang, et al.
Published: (2018-01-01)