Using performance forecasting to accelerate elasticity (2015)
Source: Adaptive Resource Management and Scheduling for Cloud Computing: Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers. Conference titles: Workshop on Adaptive Resource Management and Scheduling for Cloud Computing - ARMS-CC. Unidade: IME
Assunto: COMPUTAÇÃO EM NUVEM
ABNT
MOURA, Paulo Bittencourt et al. Using performance forecasting to accelerate elasticity. 2015, Anais.. Cham: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-28448-4_2. Acesso em: 04 out. 2024.APA
Moura, P. B., Kon, F., Voulgaris, S., & Steen, M. van. (2015). Using performance forecasting to accelerate elasticity. In Adaptive Resource Management and Scheduling for Cloud Computing: Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers. Cham: Springer. doi:10.1007/978-3-319-28448-4_2NLM
Moura PB, Kon F, Voulgaris S, Steen M van. Using performance forecasting to accelerate elasticity [Internet]. Adaptive Resource Management and Scheduling for Cloud Computing: Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers. 2015 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/978-3-319-28448-4_2Vancouver
Moura PB, Kon F, Voulgaris S, Steen M van. Using performance forecasting to accelerate elasticity [Internet]. Adaptive Resource Management and Scheduling for Cloud Computing: Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers. 2015 ;[citado 2024 out. 04 ] Available from: https://doi.org/10.1007/978-3-319-28448-4_2