[1] Beltrán, Marta. “BECloud: A new approach to analyse elasticity enablers of cloud services.” Future Generation Computer Systems 64 (2016): 39-49.

[2] Cachin, Christian, Idit Keidar, and Alexander Shraer. “Trusting the cloud.” Acm Sigact News 40, no. 2 (2009): 81-86.

[3] Becker, Matthias, Sebastian Lehrig, and Steffen Becker. “Systematically deriving quality metrics for cloud computing systems.” In Proceedings of the 6th ACM/SPEC international conference on performance engineering, pp. 169-174. 2015.

[4] Mell, Peter, and Tim Grance.. ‘The NIST definition of cloud computing’2011

[5] Lorido-Botran, Tania, Jose Miguel-Alonso, and Jose A Lozano.. ‘A review of auto-scaling techniques for elastic applications in cloud environments’, Journal of grid computing, 12: 559-922014

[6] Ray, S. “Easy Steps to Learn Naive Bayes Algorithm (with code in Python), Analytics Vidhya.” URL: https://www. analyticsvidhya. com/blog/2015/09/naive-bayes (6).

[7] , Možina, J., Demšar, M. Kattan, and B., Zupan, Nomograms for visualization of naive Bayesian classifier. In European Conference on Principles of Data Mining and Knowledge Discovery , September. (pp. 337-348). Springer, Berlin, Heidelberg. 2004

[8] , Geng, Q., Meng, J., Bai, J., Chen, Y., Han, Q. Wei, and Z., Ouyang, A model-free Bayesian classifier. Information Sciences, 482, pp.171-188. 2019

[9] Beltrán, Marta. “BECloud: A new approach to analyse elasticity enablers of cloud services.” Future Generation Computer Systems 64 (2016): 39-49.

Lehrig, Sebastian, Richard Sanders, Gunnar Brataas, Mariano Cecowski, Simon Ivanšek, and Jure Polutnik. ‘CloudStore—towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing’, Future Generation Computer Systems, 78: 115-262018

Calcavecchia, Nicolo M, Bogdan A Caprarescu, Elisabetta Di Nitto, Daniel J Dubois, and Dana Petcu.. ‘DEPAS: a decentralized probabilistic algorithm for auto-scaling’, Computing, 94: 701-30. 2012.