Energy Optimal Partial Computation Offloading Framework for Mobile Devices in Multi-access Edge Computing

2019 ◽  
Author(s):  
Sonali Chouhan
Keyword(s):  
Mobile Devices ◽  
Edge Computing ◽  
Computation Offloading ◽  
Multi Access

scholarly journals Efficient Computation Offloading in Multi-Tier Multi-Access Edge Computing Systems: A Particle Swarm Optimization Approach

2019 ◽  
Vol 10 (1) ◽  
pp. 203 ◽  
Author(s):  
Luan N. T. Huynh ◽  
Quoc-Viet Pham ◽  
Xuan-Qui Pham ◽  
Tri D. T. Nguyen ◽  
Md Delowar Hossain ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Particle Swarm Optimization ◽  
Optimization Problem ◽  
Particle Swarm ◽  
Edge Computing ◽  
Computation Offloading ◽  
Mixed Integer ◽  
5G Networks ◽  
Swarm Optimization ◽  
Multi Access

In recent years, multi-access edge computing (MEC) has become a promising technology used in 5G networks based on its ability to offload computational tasks from mobile devices (MDs) to edge servers in order to address MD-specific limitations. Despite considerable research on computation offloading in 5G networks, this activity in multi-tier multi-MEC server systems continues to attract attention. Here, we investigated a two-tier computation-offloading strategy for multi-user multi-MEC servers in heterogeneous networks. For this scenario, we formulated a joint resource-allocation and computation-offloading decision strategy to minimize the total computing overhead of MDs, including completion time and energy consumption. The optimization problem was formulated as a mixed-integer nonlinear program problem of NP-hard complexity. Under complex optimization and various application constraints, we divided the original problem into two subproblems: decisions of resource allocation and computation offloading. We developed an efficient, low-complexity algorithm using particle swarm optimization capable of high-quality solutions and guaranteed convergence, with a high-level heuristic (i.e., meta-heuristic) that performed well at solving a challenging optimization problem. Simulation results indicated that the proposed algorithm significantly reduced the total computing overhead of MDs relative to several baseline methods while guaranteeing to converge to stable solutions.

Coalitional Games for Computation Offloading in NOMA-Enabled Multi-Access Edge Computing

2020 ◽  
Vol 69 (2) ◽  
pp. 1982-1993 ◽  
Author(s):  
Quoc-Viet Pham ◽  
Hoang T. Nguyen ◽  
Zhu Han ◽  
Won-Joo Hwang
Keyword(s):  
Edge Computing ◽  
Computation Offloading ◽  
Coalitional Games ◽  
Multi Access

scholarly journals Mobility-Aware Energy Optimization in Hosts Selection for Computation Offloading in Multi-Access Edge Computing

2020 ◽  
Vol 1 ◽  
pp. 1056-1065
Author(s):  
Shanmuganathan Thananjeyan ◽  
Chien Aun Chan ◽  
Elaine Wong ◽  
Ampalavanapillai Nirmalathas
Keyword(s):  
Energy Optimization ◽  
Edge Computing ◽  
Computation Offloading ◽  
Selection For ◽  
Multi Access
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