scholarly journals Collaborative Vehicular Edge Computing Networks: Architecture Design and Research Challenges

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 178942-178952 ◽  
Author(s):  
Renchao Xie ◽  
Qinqin Tang ◽  
Qiuning Wang ◽  
Xu Liu ◽  
Fei Richard Yu ◽  
...  
Keyword(s):  
Edge Computing ◽  
Architecture Design ◽  
Research Challenges

scholarly journals Opportunistic Edge Computing: Concepts, opportunities and research challenges

2018 ◽  
Vol 89 ◽  
pp. 633-645 ◽  
Author(s):  
Richard Olaniyan ◽  
Olamilekan Fadahunsi ◽  
Muthucumaru Maheswaran ◽  
Mohamed Faten Zhani
Keyword(s):  
Edge Computing ◽  
Research Challenges

scholarly journals Managing the Cloud Continuum: Lessons Learnt from a Real Fog-to-Cloud Deployment

2021 ◽  
Author(s):  
Xavi Masip-Bruin ◽  
Eva Marín-Tordera ◽  
Sergi Sánchez-López ◽  
Jordi Garcia ◽  
Admela Jukan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Management Strategies ◽  
Edge Computing ◽  
Design And Development ◽  
Management Framework ◽  
Efficient Management ◽  
Research Challenges ◽  
Lessons Learnt ◽  
Development Processes ◽  
Different Levels

The wide adoption of the recently coined fog and edge computing paradigms alongside conventional cloud computing creates a novel scenario, known as the cloud continuum, where services may benefit from the overall set of resources to optimize their execution. To operate successfully, such a cloud continuum scenario demands for novel management strategies, enabling a coordinated and efficient management of the entire set of resources, from the edge up to the cloud, designed in particular to address key edge characteristics, such as mobility, heterogeneity and volatility. The design of such a management framework poses many research challenges and has already promoted many initiatives worldwide at different levels. In this paper we present the results of one of these experiences driven by an EU H2020 project, focusing on the lessons learnt from a real deployment of the proposed management solution in three different industrial scenarios. We think that such a description may help understand the benefits brought in by a holistic cloud continuum management and also may help other initiatives in their design and development processes.

scholarly journals The mechanism of digitized landscape architecture design under edge computing

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0252087
Author(s):  
Haoqi Wu ◽  
Jun Yan
Keyword(s):  
Landscape Architecture ◽  
Landscape Design ◽  
Edge Computing ◽  
Laplacian Operator ◽  
Architecture Design ◽  
Generation Process ◽  
Mobile Edge Computing ◽  
Calculation Algorithm ◽  
Seed Point ◽  
The Impact

The purposes are to analyze the mechanism of digitized landscape architecture design and stablize the garden landscape image display in constructing garden landscape digitization platform. According to previous research and mobile edge computing, a scheme of digitized landscape architecture design is proposed based on edge computing. This scheme uses discrete elevation calculation to preserve the landscape design image’s frame. It adopts the Roberts edge detection and Laplacian operator for high-level stable preservation of landscape images. Simultaneously, the displayed image is stablized using edge computing algorithms. Simulation experiments are performed to verify the effectiveness of the proposed scheme of digitized landscape architecture design based on mobile edge computing. Results demonstrate that the discrete elevation calculation algorithm can avoid low visual rendering in the 3D image generation process, optimize the seed point matching of edge correlation, and ensure image clarity and stability. The edge computing algorithm can fundamentally avoid the problem of image shaking. The impact of different algorithm models on the classification and accuracy of landscape images is analyzed through parameter optimization. Compared with some latest models, the proposed landscape design scheme based on edge computing has better accuracy. The average accuracy can reach more than 90%, and the Kappa coefficient remains at 86.93%. The designed garden landscape digitization platform can stably display 3D garden landscape images while avoiding the shaking of 3D images, which can provide a theoretical basis and practical value for designing and planning landscape architecture.

Edge computing: current trends, research challenges and future directions

Computing ◽  
2021 ◽  
Author(s):  
Gonçalo Carvalho ◽  
Bruno Cabral ◽  
Vasco Pereira ◽  
Jorge Bernardino
Keyword(s):  
Edge Computing ◽  
Future Directions ◽  
Current Trends ◽  
Research Challenges

scholarly journals Managing the Cloud Continuum: Lessons Learnt from a Real Fog-to-Cloud Deployment

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2974
Author(s):  
Xavi Masip-Bruin ◽  
Eva Marín-Tordera ◽  
Sergi Sánchez-López ◽  
Jordi Garcia ◽  
Admela Jukan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Management Strategies ◽  
Edge Computing ◽  
Design And Development ◽  
Management Framework ◽  
Efficient Management ◽  
Research Challenges ◽  
Lessons Learnt ◽  
Development Processes ◽  
Different Levels

The wide adoption of the recently coined fog and edge computing paradigms alongside conventional cloud computing creates a novel scenario, known as the cloud continuum, where services may benefit from the overall set of resources to optimize their execution. To operate successfully, such a cloud continuum scenario demands for novel management strategies, enabling a coordinated and efficient management of the entire set of resources, from the edge up to the cloud, designed in particular to address key edge characteristics, such as mobility, heterogeneity and volatility. The design of such a management framework poses many research challenges and has already promoted many initiatives worldwide at different levels. In this paper we present the results of one of these experiences driven by an EU H2020 project, focusing on the lessons learnt from a real deployment of the proposed management solution in three different industrial scenarios. We think that such a description may help understand the benefits brought in by a holistic cloud continuum management and also may help other initiatives in their design and development processes.

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