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A Hybrid Service Selection and Composition for Cloud Computing Using the Adaptive Penalty Function in Genetic and Artificial Bee Colony Algorithm

The rapid development of Cloud Computing (CC) has led to the release of many services in the cloud environment. Service composition awareness of Quality of Service (QoS) is a significant challenge in CC. A single service in the cloud environment cannot respond to the complex requests and diverse req...

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Principais autores: Seyed Salar Sefati, Simona Halunga
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-06-01
coleção:Sensors
Assuntos:
service composition
cloud computing
quality of service (QoS)
adaptive penalty function genetic algorithm
artificial bee colony
Acesso em linha:https://www.mdpi.com/1424-8220/22/13/4873
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