C. Reiss, A. Tumanov, G. R. Ganger, R. H. Katz, and M. A. Kozuch, Heterogeneity and dynamicity of clouds at scale: Google trace analysis, ACM Symposium on Cloud Computing (SoCC), 2012.

J. Wilkes, More Google cluster data, Google research blog, 2011.

Z. Liu and S. Cho, Characterizing machines and workloads on a Google cluster, 8th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems (SRMPDS), 2012.

O. Beaumont, L. Eyraud-dubois, and J. Lorenzo-del-castillo, Analyzing real cluster data for formulating allocation algorithms in Cloud platforms, 2-th International Symposium on Computer architecture and High Performance Computing (SBAC-PAD), 2014.
URL : https://hal.archives-ouvertes.fr/hal-01094388

M. Alam, K. A. Shakil, and S. Sethi, Analysis and clustering of workload in google cluster trace based on resource usage, CoRR, 2015.

S. Yousif and A. Al-dulaimy, Clustering cloud workload traces to improve the performance of cloud data centers, Proceedings of the World Congress on Engineering, pp.7-2017, 2017.

R. F. Gbaguidi, S. Boumerdassi, and E. Ezin, Characterizing servers workload in Cloud Datacenters, International Conference on Future Internet of Things and Cloud, pp.20-25, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01269580

S. Di, D. Kondo, and W. Cirne, Host load prediction in a google compute cloud with a bayesian model, Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, ser. SC '12, vol.21, p.11, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00788002

Y. Chen, A. S. Ganapathi, R. Griffith, and R. H. Katz, Analysis and lessons from a publicly available google cluster trace, EECS Department, 2010.

C. Reiss, J. Wilkes, and J. L. Hellerstein, Google cluster-usage traces: format + schema, 2011.