scholarly journals Influence of Crowd Participation Features on Mobile Edge Computing

2018 ◽  
Vol 10 (10) ◽  
pp. 94
Author(s):  
Peiyan Yuan ◽  
Xiaoxiao Pang ◽  
Xiaoyan Zhao
Keyword(s):  
Research Area ◽  
End Users ◽  
Edge Computing ◽  
Traffic Load ◽  
Mobile Edge Computing ◽  
Data Forwarding ◽  
Backbone Networks ◽  
Content Caching ◽  
Communication Paradigm

Mobile edge computing is a new communication paradigm, which stores content close to the end users, so as to reduce the backhaul delay and alleviate the traffic load of the backbone networks. Crowd participation is one of the most striking features of this technology, and it enables numerous interesting applications. The dynamics of crowd participation offer unprecedented opportunities for both content caching and data forwarding. In this paper, we investigate the influence of the dynamics of crowd participation, from the perspective of opportunistic caching and forwarding, and discuss how we can exploit such opportunities to allocate content and select relays efficiently. Some existing issues in this emerging research area are also discussed.

scholarly journals Zone-Based Cooperative Content Caching and Delivery for Radio Access Network With Mobile Edge Computing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 4031-4044 ◽  
Author(s):  
Ning Wang ◽  
Gangxiang Shen ◽  
Sanjay Kumar Bose ◽  
Weidong Shao
Keyword(s):  
Access Network ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Radio Access Network ◽  
Content Caching ◽  
Radio Access

scholarly journals An Efficient Forwarding Capability Evaluation Method for Opportunistic Offloading in Mobile Edge Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Qian Wang ◽  
Zhipeng Gao ◽  
Kun Niu ◽  
Yang Yang ◽  
Xuesong Qiu
Keyword(s):  
Evaluation Method ◽  
Edge Computing ◽  
Second Step ◽  
Delivery Ratio ◽  
Mobile Edge Computing ◽  
Traffic Data ◽  
Data Forwarding ◽  
Data Redundancy ◽  
Computation Process ◽  
Capability Evaluation

Opportunistic offloading can be utilized to offload computing tasks and traffic data in Mobile Edge Computing (MEC). To improve the ratio of successful data offloading and reduce unnecessary data redundancy in opportunistic forwarding process, some methods of evaluating a device’s forwarding capability are proposed. However, most of these methods do not consider the temporal impact from device mobility and the efficiency influence from the capability computation process. To settle these problems, we proposed a Transient-cluster-based Capability Evaluation Method (TCEM) to evaluate a device’s data forwarding capability. The TCEM can be divided into two steps. The first step aims to reduce computational complexity by evaluating a device’s possibility of contacting the destination within a time constraint based on the transient cluster generated by our proposed Transient Cluster Detection Method (TCDM). The second step is to calculate a device’s probability of directly and indirectly forwarding data to the destination. The probability as a metric of evaluating a device’s forwarding capability can be used in different data forwarding strategies. Simulation results demonstrate that the TCEM-based data forwarding strategy outperforms other data forwarding strategies from the aspect of the proportion of the data delivery ratio to the data redundancy.

scholarly journals Cooperative Content Caching for Mobile Edge Computing With Network Coding

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 67695-67707 ◽  
Author(s):  
Weisheng He ◽  
Yuhan Su ◽  
Xueting Xu ◽  
Zhaohui Luo ◽  
Lianfen Huang ◽  
...  
Keyword(s):  
Network Coding ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Content Caching

Proactive content caching by exploiting transfer learning for mobile edge computing

2018 ◽  
Vol 31 (11) ◽  
pp. e3706 ◽  
Author(s):  
Tingting Hou ◽  
Gang Feng ◽  
Shuang Qin ◽  
Wei Jiang
Keyword(s):  
Transfer Learning ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Content Caching
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