Uç Veri Merkezlerini Optimize Etmek İçin Toroidal K-ary Izgaralarını Uygulama

Year 2024, , 1743 - 1760, 02.10.2024

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

https://doi.org/10.2339/politeknik.1327964

Abstract

IoT dağıtımları katlanarak artıyor ve uç bilgi işlem sistemlerinde büyük bir artışa yol açıyor. Bu tür bir taleple başa çıkabilmek için veri merkezlerinin, uç bilgi işlemin az sayıda fiziksel sunucu ve belirli bir zamanda çalışan trafik akışlarına göre ölçekleme ve ölçeği kaldırma yeteneği gibi özel gereksinimlerine göre özelleştirilmeleri gerekir. Bu bağlamda yapay zeka, mevcut trafiği inceleyerek trafik hacminin artıp artmayacağına ya da geçmiş verileri ve ağın baz referans değerleri gibi diğer faktörleri irdeleyerek tahmin edebildiği için önemli bir rol oynar. Bu çalışmada, küçük veri merkezlerini organize etmek ve optimize etmek için toroidal k-ary ızgaralarına dayanan dinamik bir çerçeve ana hatlarıyla açıklanmakta ve IoT tarafından üretilen trafik akışlarının mevcut ve tahmin edilen kapasitesine göre artmalarına veya azalmalarına izin verilmektedir.

Keywords

ACP, Veri Merkezi Topolojisi, Uç Bilişim, Toroidal k-ary Izgaraları, Toroidal Topolojiler

Applying Toroidal k-ary Grids for Optimizing Edge Data Centers

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, Data Center Topology, Edge Computing, Toroidal k-ary Grid, Toroidal Topologies

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