1. Kiani, A., Ansari, N.: Toward low-cost workload distribution for integrated green data centers. IEEE Commun. Lett. 19(1), 26–29 (2015)
2. Areekul, P., et al.: Notice of violation of IEEE publication principles: a hybrid Arima and neural network model for short-term price forecasting in a deregulated market. IEEE Trans. Power Syst. 25(1), 524–530 (2010)
3. Madhumathi, D.C.: Comparative Analysis on Various Workload Balancing Algorithms with the Proposed Time Based Load Balancer (Tblb) Algorithm For Efficient Resource Management ın an Academic Cloud Computing Environment. https://www.journalaquaticscience.com/article_135179_cb758e6d5ba9883c8071760afd88f5f3.pdf
4. Han, X., et al.: Optimization of workload distribution of data centers based on a self-learning in situ adaptive tabulation model. In: Building Simulation Conference Proceedings (2019)
5. Meisner, D., Wenisch, T.F.: Stochastic queuing simulation for data center workloads. https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.7982&q=DWT%3A+Decoupled+Workload+Tracing+for+Data+Centers