A novel Latency-Guaranteed based Resource Double Auction for market-oriented edge computing

Lin, Jie; Huang, Lin; Zhang, Hanlin; Yang, Xinyu; Zhao, Peng

doi:10.1016/j.comnet.2021.107873

Cited by 14 publications

(2 citation statements)

References 26 publications

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“…In Lin et al (2021), marketing-based edge computing is designed using Latency-Guaranteed-based Resource Double Auction (LGRDA). The edge server's resource utilization is improved, and the computation states are determined as a result.…”

Section: Related Workmentioning

confidence: 99%

A convex problem optimization solution for information management in edge computing platforms

Saad

Al-Makhadmeh

2022

Expert Systems

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Intelligent computing and social optimization techniques have been used to manage mobile edge (ME) environments for pervasive services. However, the service demand is the prime cause for requiring flawless information management. This article proposes a coherent information management (CIM) process for resolving the convex optimization problems by considering the flaws in raw information management. The information management problem for pervasiveness is defined as a nonlinear problem for user-to-information availability. According to the CIM, pervasive convergence is identified for the available information. Furthermore, convolutional neural learning identifies unavailable or utilized information between the service provider and the end-user layers. This identification improves the training rate for convergence improvement and information coherency. Therefore, the nonlinear pervasiveness is distributed between different service providers, improving efficiency. Therefore, the proposed optimization method achieves a 7.4% high admittance ratio, 8.28% high utilization, 25.25% less allocation time, and 24.4% less waiting time for different availability ratios for different information availability ratios.

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Section: Related Workmentioning

confidence: 99%

A convex problem optimization solution for information management in edge computing platforms

Saad

Al-Makhadmeh

2022

Expert Systems

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“…Edge computing has the advantages of a low latency, real-time and efficient data processing capacity [ 20 ], data security and privacy protection, personalized configuration and localized processing. It also meets the different application needs of power grid intelligence.…”

Section: Introductionmentioning

confidence: 99%

A Bilevel Optimization Model Based on Edge Computing for Microgrid

Chen

Hayawi

Fan

et al. 2022

Sensors

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With the continuous progress of renewable energy technology and the large-scale construction of microgrids, the architecture of power systems is becoming increasingly complex and huge. In order to achieve efficient and low-delay data processing and meet the needs of smart grid users, emerging smart energy systems are often deployed at the edge of the power grid, and edge computing modules are integrated into the microgrids system, so as to realize the cost-optimal control decision of the microgrids under the condition of load balancing. Therefore, this paper presents a bilevel optimization control model, which is divided into an upper-level optimal control module and a lower-level optimal control module. The purpose of the two-layer optimization modules is to optimize the cost of the power distribution of microgrids. The function of the upper-level optimal control module is to set decision variables for the lower-level module, while the function of the lower-level module is to find the optimal solution by mathematical methods on the basis of the upper-level and then feed back the optimal solution to the upper-layer. The upper-level and lower-level modules affect system decisions together. Finally, the feasibility of the bilevel optimization model is demonstrated by experiments.

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Combinatorial double auction for resource allocation with differential privacy in edge computing

Jiang

Sun

Liu

et al. 2022

Computer Communications

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A novel Latency-Guaranteed based Resource Double Auction for market-oriented edge computing

Cited by 14 publications

References 26 publications

A convex problem optimization solution for information management in edge computing platforms

A convex problem optimization solution for information management in edge computing platforms

A Bilevel Optimization Model Based on Edge Computing for Microgrid

Combinatorial double auction for resource allocation with differential privacy in edge computing

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