Combining time series prediction models using genetic algorithm to autoscaling Web applications hosted in the cloud infrastructure (2016)
- Authors:
- USP affiliated authors: ESTRELLA, JÚLIO CEZAR - ICMC ; EHLERS, RICARDO SANDES - ICMC ; SANTANA, MARCOS JOSÉ - ICMC ; SANTANA, REGINA HELENA CARLUCCI - ICMC
- Unidade: ICMC
- DOI: 10.1007/s00521-015-2133-3
- Subjects: SISTEMAS DISTRIBUÍDOS; PROGRAMAÇÃO CONCORRENTE; INFERÊNCIA BAYESIANA; ESTATÍSTICA APLICADA; ALGORITMOS GENÉTICOS; MODELOS EM SÉRIES TEMPORAIS; ELASTICIDADE; COMPUTAÇÃO EM NUVEM
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Neural Computing and Applications
- ISSN: 0941-0643
- Volume/Número/Paginação/Ano: v. 27, n. 8, p. 2383-2406, Nov. 2016
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: cc-by
-
ABNT
MESSIAS, Valter Rogério et al. Combining time series prediction models using genetic algorithm to autoscaling Web applications hosted in the cloud infrastructure. Neural Computing and Applications, v. No 2016, n. 8, p. 2383-2406, 2016Tradução . . Disponível em: https://doi.org/10.1007/s00521-015-2133-3. Acesso em: 18 abr. 2024. -
APA
Messias, V. R., Estrella, J. C., Ehlers, R. S., Santana, M. J., Santana, R. H. C., & Reiff-Marganiec, S. (2016). Combining time series prediction models using genetic algorithm to autoscaling Web applications hosted in the cloud infrastructure. Neural Computing and Applications, No 2016( 8), 2383-2406. doi:10.1007/s00521-015-2133-3 -
NLM
Messias VR, Estrella JC, Ehlers RS, Santana MJ, Santana RHC, Reiff-Marganiec S. Combining time series prediction models using genetic algorithm to autoscaling Web applications hosted in the cloud infrastructure [Internet]. Neural Computing and Applications. 2016 ; No 2016( 8): 2383-2406.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1007/s00521-015-2133-3 -
Vancouver
Messias VR, Estrella JC, Ehlers RS, Santana MJ, Santana RHC, Reiff-Marganiec S. Combining time series prediction models using genetic algorithm to autoscaling Web applications hosted in the cloud infrastructure [Internet]. Neural Computing and Applications. 2016 ; No 2016( 8): 2383-2406.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1007/s00521-015-2133-3 - Efficient web services selection based on QoS through a distributed parallel semantic approach
- AWSCS: a system to evaluate different approaches for the automatic composition and execution of web services flows
- Processo de desenvolvimento de software focado em sistemas distribuídos autonômicos
- A performance evaluation study for QoS-aware web services composition using genetic algorithms
- A comparative analysis of algorithms for dynamic web services composition with quality of service
- WSARCH: an architecture for web services provisioning with QoS support, performance challenges
- Using semantic web for selection of web services with QoS
- Different approaches for QoS-aware web services composition focused on e-commerce systems
- Performance evaluation of resource management in cloud computing environments
- Providing IaaS resources automatically through prediction and monitoring approaches
Informações sobre o DOI: 10.1007/s00521-015-2133-3 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
