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A study on the design methodology of TAC3 for edge computing
Mathematical Biosciences and Engineering Pub Date : 2020-06-22 , DOI: 10.3934/mbe.2020243
Yong Zhu , , Zhipeng Jiang , Xiaohui Mo , Bo Zhang , Abdullah Al-Dhelaan , Fahad Al-Dhelaan , , ,

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.

中文翻译:

TAC 3边缘计算的设计方法研究

以下场景,例如复杂的应用程序需求,ZB(Zettabyte)网络数据量级以及数以百亿计的已连接设备,对ICT三大支柱的功能和安全性构成了严峻的挑战:计算,网络和存储。边缘计算应运而生。遵循“描述-合成-模拟-优化”的设计方法,TAC 3(Tile-Architecture Cluster Computing Core)被提议为轻量级加速ECN(Edge Computing Node)。通过可执行描述规范和多态并行性DSE(设计空间探索)的方法,设计并仿真了具有Tile-Architecture的ECN。通过边缘计算环境的合理配置以及卷积神经网络以及图像和图形处理等典型应用场景的不断优化,我们可以应对网络带宽,端云延迟和海量数据带来的隐私安全性的挑战。 IoE。“ Edge-Cloud相辅相成,Edge-AI相辅相成”的理念将成为新一代IoE行为原理。
更新日期:2020-07-20
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