scholarly journals A Novel Collaborative Task Offloading Scheme for Secure and Sustainable Mobile Cloudlet Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 44175-44189 ◽  
Author(s):  
Ning Yang ◽  
Xiaochen Fan ◽  
Deepak Puthal ◽  
Xiangjian He ◽  
Priyadarsi Nanda ◽  
...  
Keyword(s):  
Collaborative Task ◽  
Task Offloading

Security and Energy-aware Collaborative Task Offloading in D2D communication

2021 ◽  
Vol 118 ◽  
pp. 358-373
Author(s):  
Zhongjin Li ◽  
Haiyang Hu ◽  
Hua Hu ◽  
Binbin Huang ◽  
Jidong Ge ◽  
...  
Keyword(s):  
D2d Communication ◽  
Energy Aware ◽  
Collaborative Task ◽  
Task Offloading

A Cloud–MEC Collaborative Task Offloading Scheme With Service Orchestration

2020 ◽  
Vol 7 (7) ◽  
pp. 5792-5805 ◽  
Author(s):  
Mingfeng Huang ◽  
Wei Liu ◽  
Tian Wang ◽  
Anfeng Liu ◽  
Shigeng Zhang
Keyword(s):  
Service Orchestration ◽  
Collaborative Task ◽  
Task Offloading

Privacy-Aware Collaborative Task Offloading in Fog Computing

2021 ◽  
pp. 1-9
Author(s):  
Mian Muaz Razaq ◽  
Byungchul Tak ◽  
Limei Peng ◽  
Mohsen Guizani
Keyword(s):  
Fog Computing ◽  
Collaborative Task ◽  
Task Offloading

Collaborative task offloading and resource scheduling framework for heterogeneous edge computing

2021 ◽  
Author(s):  
Jianji Ren ◽  
Tingting Hou ◽  
Haichao Wang ◽  
Huanhuan Tian ◽  
Huihui Wei ◽  
...  
Keyword(s):  
Resource Scheduling ◽  
Edge Computing ◽  
Collaborative Task ◽  
Task Offloading

scholarly journals CTOM: Collaborative Task Offloading Mechanism for Mobile Cloudlet Networks

2018 ◽  
Author(s):  
Xiaochen Fan ◽  
Xiangjian He ◽  
Deepak Puthal ◽  
Shiping Chen ◽  
Chaocan Xiang ◽  
...  
Keyword(s):  
Collaborative Task ◽  
Task Offloading

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.

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