Agriculture Management Based on LoRa Edge Computing System

2020 ◽  
pp. 113-125
Author(s):  
Fatkhullokhodzha Sharofidinov ◽  
Mohammed Saleh Ali Muthanna ◽  
Van Dai Pham ◽  
Abdukodir Khakimov ◽  
Ammar Muthanna ◽  
...  
Keyword(s):  
Computing System ◽  
Edge Computing ◽  
Agriculture Management

Blockchain-based mobile edge computing system

2021 ◽  
Vol 561 ◽  
pp. 70-80
Author(s):  
Guangshun Li ◽  
Xinrong Ren ◽  
Junhua Wu ◽  
Wanting Ji ◽  
Haili Yu ◽  
...  
Keyword(s):  
Computing System ◽  
Edge Computing ◽  
Mobile Edge Computing

Scalable Modulation based Computation Offloading in Vehicular Edge Computing System

2020 ◽  
Author(s):  
Wenjie Li ◽  
Ning Zhang ◽  
Qiuyan Liu ◽  
Weiyang Feng ◽  
Ruirui Ning ◽  
...  
Keyword(s):  
Computing System ◽  
Edge Computing ◽  
Computation Offloading

An Edge Computing System for Estimating Road Surface Condition on Winter Expressway

2021 ◽  
Author(s):  
Masahiro Yagi ◽  
Tomoyuki Takase ◽  
Sho Takahashi ◽  
Toru Hagiwara ◽  
Tomonori Ohiro ◽  
...  
Keyword(s):  
Surface Condition ◽  
Computing System ◽  
Road Surface ◽  
Edge Computing

Computation Bits Maximization in UAV-Enabled Mobile Edge Computing System

2021 ◽  
pp. 1-1
Author(s):  
Liang Lyu ◽  
Fanzi Zeng ◽  
Zhu Xiao ◽  
Chengyuan Zhang ◽  
Hongbo Jiang ◽  
...  
Keyword(s):  
Computing System ◽  
Edge Computing ◽  
Mobile Edge Computing

Retransmission Edge Computing System Conducting Adaptive Image Compression Based on Image Recognition Accuracy

2021 ◽  
Author(s):  
Mutsuki Nakahara ◽  
Daisuke Hisano ◽  
Mai Nishimura ◽  
Yoshitaka Ushiku ◽  
Kazuki Maruta ◽  
...  
Keyword(s):  
Image Compression ◽  
Image Recognition ◽  
Recognition Accuracy ◽  
Computing System ◽  
Edge Computing

Industrial Intelligent Edge Computing System based on 5G

2021 ◽  
Author(s):  
Peng Ding ◽  
Dan Liu ◽  
Yun Shen ◽  
XiaoHou Shi ◽  
HengRui Zhou ◽  
...  
Keyword(s):  
Computing System ◽  
Edge Computing

Two-tier end-edge collaborative computation offloading for edge computing

2021 ◽  
pp. 1-12
Author(s):  
Yong Xiao ◽  
Ling Wei ◽  
Junhao Feng ◽  
Wang En
Keyword(s):  
Computing System ◽  
End Users ◽  
Edge Computing ◽  
Computation Offloading ◽  
Iot Applications ◽  
Delay Sensitive ◽  
Task Processing ◽  
Queue Lengths ◽  
The Stability ◽  
The Cost

Edge computing has emerged for meeting the ever-increasing computation demands from delay-sensitive Internet of Things (IoT) applications. However, the computing capability of an edge device, including a computing-enabled end user and an edge server, is insufficient to support massive amounts of tasks generated from IoT applications. In this paper, we aim to propose a two-tier end-edge collaborative computation offloading policy to support as much as possible computation-intensive tasks while making the edge computing system strongly stable. We formulate the two-tier end-edge collaborative offloading problem with the objective of minimizing the task processing and offloading cost constrained to the stability of queue lengths of end users and edge servers. We perform analysis of the Lyapunov drift-plus-penalty properties of the problem. Then, a cost-aware computation offloading (CACO) algorithm is proposed to find out optimal two-tier offloading decisions so as to minimize the cost while making the edge computing system stable. Our simulation results show that the proposed CACO outperforms the benchmarked algorithms, especially under various number of end users and edge servers.

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