The Promising Role of Representation Learning for Distributed Computing Continuum Systems

The distributed computing continuum systems (DCCS) and representation learning (ReL) are two diverse computer science technologies with their use cases, applications, and benefits. The DCCS helps increase flexibility with improved performance of hybrid IoT-Edge-Cloud infrastructures. In contrast, re...

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Vydané v:	2022 IEEE International Conference on Service-Oriented System Engineering (SOSE) s. 126 - 132
Hlavní autori:	Donta, Praveen Kumar, Dustdar, Schahram
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2022
Predmet:	Causal inference Compute continuum Data mining Distributed computing Distributed systems Feature extraction Performance evaluation Prediction algorithms Representation learning Service-oriented systems engineering
ISSN:	2642-6587
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