Applying Toroidal k-ary Grids for Optimizing Edge Data Centers

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Politeknik Dergisi
Volume:27 Issue:5
Applying Toroidal k-ary Grids for Optimizing Edge Data Centers

Applying Toroidal k-ary Grids for Optimizing Edge Data Centers

Authors : Pedro Juan Roig, Salvador Alcaraz, Katja Gılly, Cristina Bernad, Carlos Juiz

Pages : 1743-1760

Doi:10.2339/politeknik.1327964

View : 83 | Download : 425

Publication Date : 2024-10-02

Article Type : Research Paper

Abstract :IoT deployments are growing exponentially, leading to a huge increase in edge computing facilities. In order to cope with such a demand, data centers need to get customized for the specific requirements of edge computing, such as a small number of physical servers and the ability to scale and unscale according to the traffic flows running at a given time. In this context, artificial intelligence plays a key part as it may anticipate when traffic throughput will increase or otherwise by scrutinizing current traffic whilst considering other factors like historical data and network baselines. In this paper, a dynamic framework is outlined based on toroidal k-ary grids so as to organize and optimize small data centers, allowing them to increase or decrease according to the current and predicted capacity of IoT-generated traffic flows.
Keywords : ACP, Veri Merkezi Topolojisi, Uç Bilişim, Toroidal k ary Izgaraları, Toroidal Topolojiler

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