1. Khaledian, N., Khamforoosh, K., Azizi, S., Maihami, V.: IKH-EFT: an improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment. Sustain. Comput.: Inform. Syst. 37, 100834 (2023)
2. Rosà, A., Chen, L.Y., Birke, R., Binder, W.: Demystifying casualties of evictions in big data priority scheduling. ACM SIGMETRICS Perform. Eval. Rev. 42(4), 12–21 (2015)
3. Chen, X., Lu, C. D., Pattabiraman, K.: Failure analysis of jobs in compute clouds: a Google cluster case study. In 2014 IEEE 25th International Symposium on Software Reliability Engineering (pp. 167–177). IEEE. (2014)
4. Rzadca, K., Findeisen, P., Swiderski, J., Zych, P., Broniek, P., Kusmierek, J., Wilkes, J.: Autopilot: workload autoscaling at Google. In proceedings of the fifteenth european conference on computer systems (pp. 1–16), (2020)
5. Anil, R., Capan, G., Drost-Fromm, I., Dunning, T., Friedman, E., Grant, T., Yılmazel, Ö.: Apache mahout: machine learning on distributed dataflow systems. J. Mach. Learn. Res. 21(127), 1–6 (2020)