Optimization in Edge Computing and Small-Cell Networks

2018 ◽  
pp. 17-31 ◽  
Author(s):  
Jitender Grover ◽  
Ram Murthy Garimella
Keyword(s):  
Small Cell ◽  
Edge Computing ◽  
Small Cell Networks ◽  
Cell Networks

Computation offloading balance in small cell networks with mobile edge computing

2018 ◽  
Vol 25 (7) ◽  
pp. 4133-4145 ◽  
Author(s):  
Lei Chen ◽  
Xi Li ◽  
Hong Ji ◽  
Victor C. M. Leung
Keyword(s):  
Small Cell ◽  
Edge Computing ◽  
Computation Offloading ◽  
Mobile Edge Computing ◽  
Small Cell Networks ◽  
Cell Networks

Orchestration-Based Task Offloading for Mobile Edge Computing in Small-Cell Networks

2020 ◽  
pp. 629-641
Author(s):  
Md. Delowar Hossain ◽  
Md. Abu Layek ◽  
Tangina Sultana ◽  
Md. Alamgir Hossain ◽  
Md. Imtiaz Hossain ◽  
...  
Keyword(s):  
Small Cell ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Small Cell Networks ◽  
Cell Networks ◽  
Task Offloading

scholarly journals Task Scheduling with Multicore Edge Computing in Dense Small Cell Networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Wei Kuang Lai ◽  
Chin-Shiuh Shieh ◽  
Yen-Ping Chen
Keyword(s):  
Task Scheduling ◽  
Small Cell ◽  
Edge Computing ◽  
Small Cell Networks ◽  
Cell Networks

scholarly journals Fuzzy Based Collaborative Task Offloading Scheme in the Densely Deployed Small-Cell Networks with Multi-Access Edge Computing

2020 ◽  
Vol 10 (9) ◽  
pp. 3115
Author(s):  
Md Delowar Hossain ◽  
Tangina Sultana ◽  
VanDung Nguyen ◽  
Waqas ur Rahman ◽  
Tri D. T. Nguyen ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Failure Rate ◽  
Small Cell ◽  
Edge Computing ◽  
Small Cell Networks ◽  
Task Failure ◽  
Collaborative Task ◽  
Multi Access ◽  
Cell Networks ◽  
Task Offloading

Accelerating the development of the 5G network and Internet of Things (IoT) application, multi-access edge computing (MEC) in a small-cell network (SCN) is designed to provide computation-intensive and latency-sensitive applications through task offloading. However, without collaboration, the resources of a single MEC server are wasted or sometimes overloaded for different service requests and applications; therefore, it increases the user’s task failure rate and task duration. Meanwhile, the distinct MEC server has faced some challenges to determine where the offloaded task will be processed because the system can hardly predict the demand of end-users in advance. As a result, the quality-of-service (QoS) will be deteriorated because of service interruptions, long execution, and waiting time. To improve the QoS, we propose a novel Fuzzy logic-based collaborative task offloading (FCTO) scheme in MEC-enabled densely deployed small-cell networks. In FCTO, the delay sensitivity of the QoS is considered as the Fuzzy input parameter to make a decision where to offload the task is beneficial. The key is to share computation resources with each other and among MEC servers by using fuzzy-logic approach to select a target MEC server for task offloading. As a result, it can accommodate more computation workload in the MEC system and reduce reliance on the remote cloud. The simulation result of the proposed scheme show that our proposed system provides the best performances in all scenarios with different criteria compared with other baseline algorithms in terms of the average task failure rate, task completion time, and server utilization.

Two-Tier Matching Game in Small Cell Networks for Mobile Edge Computing

2020 ◽  
pp. 1-1
Author(s):  
Yu Du ◽  
Jun Li ◽  
Long Shi ◽  
Tingting Liu ◽  
Feng Shu ◽  
...  
Keyword(s):  
Small Cell ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Small Cell Networks ◽  
Matching Game ◽  
Cell Networks
Sign in / Sign up

Export Citation Format

Share Document