A study on the design methodology of TAC<sup>3</sup> for edge computing

Yong Zhu; Zhipeng Jiang; Xiaohui Mo; Bo Zhang; Abdullah Al-Dhelaan; Fahad Al-Dhelaan; Yong Zhu; Zhipeng Jiang; Xiaohui Mo; Bo Zhang; Abdullah Al-Dhelaan; Fahad Al-Dhelaan

doi:10.3934/mbe.2020243

Mathematical Biosciences and Engineering

2020, Volume 17, Issue 5: 4406-4421. doi: 10.3934/mbe.2020243

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Research article Special Issues

A study on the design methodology of TAC³ for edge computing

1.
School of Computer Engineering, Jinling Institute of Technology, Nanjing 211169, China
2.
Faculty of Electronic Information Engineering, Jinling Institute of Technology, Nanjing 211169, China
3.
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
4.
King Saud University, Riyadh 11362, Saudi Arabia

Received: 11 April 2020 Accepted: 24 May 2020 Published: 22 June 2020

The following scenarios, such as complex application requirements, ZB (Zettabyte) order of magnitude of network data, and tens of billions of connected devices, pose serious challenges to the capabilities and security of the three pillars of ICT: Computing, network, and storage. Edge computing came into being. Following the design methodology of "description-synthesis-simulation-optimization", TAC³ (Tile-Architecture Cluster Computing Core) was proposed as the lightweight accelerated ECN (Edge Computing Node). ECN with a Tile-Architecture be designed and simulated through the method of executable description specification and polymorphous parallelism DSE (Design Space Exploration). By reasonable configuration of the edge computing environment and constant optimization of typical application scenarios, such as convolutional neural network and processing of image and graphic, we can meet the challenges of network bandwidth, end-cloud delay and privacy security brought by massive data of the IoE. The philosophy of "Edge-Cloud complements each other, and Edge-AI energizes each other" will become a new generation of IoE behavior principle.
- edge computing,
- EC architecture,
- design methodology,
- TAC³
Citation: Yong Zhu, Zhipeng Jiang, Xiaohui Mo, Bo Zhang, Abdullah Al-Dhelaan, Fahad Al-Dhelaan. A study on the design methodology of TAC3 for edge computing[J]. Mathematical Biosciences and Engineering, 2020, 17(5): 4406-4421. doi: 10.3934/mbe.2020243

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Abstract

The following scenarios, such as complex application requirements, ZB (Zettabyte) order of magnitude of network data, and tens of billions of connected devices, pose serious challenges to the capabilities and security of the three pillars of ICT: Computing, network, and storage. Edge computing came into being. Following the design methodology of "description-synthesis-simulation-optimization", TAC³ (Tile-Architecture Cluster Computing Core) was proposed as the lightweight accelerated ECN (Edge Computing Node). ECN with a Tile-Architecture be designed and simulated through the method of executable description specification and polymorphous parallelism DSE (Design Space Exploration). By reasonable configuration of the edge computing environment and constant optimization of typical application scenarios, such as convolutional neural network and processing of image and graphic, we can meet the challenges of network bandwidth, end-cloud delay and privacy security brought by massive data of the IoE. The philosophy of "Edge-Cloud complements each other, and Edge-AI energizes each other" will become a new generation of IoE behavior principle.

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