Dynamic Split Computing Framework in Distributed Serverless Edge Clouds

Distributed serverless edge clouds and split computing are promising technologies to reduce the inference latency of large-scale deep neural networks (DNNs). In this article, we propose a dynamic split computing framework (DSCF) in distributed serverless edge clouds. In DSCF, the edge cloud orchestr...

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Vydané v:	IEEE internet of things journal Ročník 11; číslo 8; s. 14523 - 14531
Hlavní autori:	Ko, Haneul, Jeong, Hyeonjae, Jung, Daeyoung, Pack, Sangheon
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 15.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Cloud computing Computational modeling Consumption Containers Distributed serverless edge cloud Edge computing Inference joint optimization Linear programming Markov processes Mobile handsets Predictive models split computing warm start
ISSN:	2327-4662, 2327-4662
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