Tasks selection policies for securing sensitive data on workflow scheduling in clouds (2018)
- Authors:
- USP affiliated authors: ESTRELLA, JÚLIO CEZAR - ICMC ; TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.1109/SCC.2018.00037
- Assunto: COMPUTAÇÃO EM NUVEM
- Keywords: workflow scheduling; multi population genetic algorithm (MPGA)
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2018
- Source:
- Título do periódico: Proceedings
- ISSN: 2474-2473
- Conference titles: IEEE International Conference on Services Computing — IEEE SCC 2018
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
ABNT
SHISHIDO, Henrique Yoshikazu et al. Tasks selection policies for securing sensitive data on workflow scheduling in clouds. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/SCC.2018.00037. Acesso em: 26 abr. 2024. -
APA
Shishido, H. Y., Estrella, J. C., Toledo, C. F. M., & Reiff-Marganiec, S. (2018). Tasks selection policies for securing sensitive data on workflow scheduling in clouds. In Proceedings. Piscataway: IEEE. doi:10.1109/SCC.2018.00037 -
NLM
Shishido HY, Estrella JC, Toledo CFM, Reiff-Marganiec S. Tasks selection policies for securing sensitive data on workflow scheduling in clouds [Internet]. Proceedings. 2018 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/SCC.2018.00037 -
Vancouver
Shishido HY, Estrella JC, Toledo CFM, Reiff-Marganiec S. Tasks selection policies for securing sensitive data on workflow scheduling in clouds [Internet]. Proceedings. 2018 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/SCC.2018.00037 - Multi-objective optimization for workflow scheduling under task selection policies in clouds
- An analysis of metaheuristic to SLA establishment in cloud computing
- Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds
- A CloudSim extension for evaluating security overhead in workflow execution in clouds
- Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm
- A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem
- An analysis of optimization algorithms designed to fully comply with SLA in cloud computing
- Optimized service level agreement establishment in cloud computing
- A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging
- A Genetic Programming based approach to automatically generate Wireless Sensor Networks applications
Informações sobre o DOI: 10.1109/SCC.2018.00037 (Fonte: oaDOI API)
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