Performance Prediction of Cloud-Based Big Data Applications-Reference-Cited by-同舟云学术

Performance Prediction of Cloud-Based Big Data Applications

Published:2018-03-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering
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Author:

Ardagna Danilo¹,Barbierato Enrico¹,Evangelinou Athanasia¹,Gianniti Eugenio¹,Gribaudo Marco¹,Pinto Túlio B. M.²,Guimarães Anna²,Couto da Silva Ana Paula²,Almeida Jussara M.²

Affiliation:

1. Politecnico di Milano, Milano, Italy

2. Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

Funder

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3184407.3184420

Reference28 articles.

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2. {n. d.}. The Digital Universe in 2020. ({n. d.}). http://idcdocserv.com/1414 {n. d.}. The Digital Universe in 2020. ({n. d.}). http://idcdocserv.com/1414

3. D. Ardagna S. Bernardi E. Gianniti S. Karimian Aliabadi D. Perez-Palacin and J. I. Requeno. 2016. Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets. In Algorithms and Architectures for Parallel Processing - 16th International Conference ICA3PP 2016 Granada Spain December 14--16 2016 Proceedings. 599--613. D. Ardagna S. Bernardi E. Gianniti S. Karimian Aliabadi D. Perez-Palacin and J. I. Requeno. 2016. Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets. In Algorithms and Architectures for Parallel Processing - 16th International Conference ICA3PP 2016 Granada Spain December 14--16 2016 Proceedings. 599--613.

4. JMT

5. CRESP: Towards Optimal Resource Provisioning for MapReduce Computing in Public Clouds

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