Author:
Qiao Zhe,Chen LiJun,Bai YuXuan
Publisher
Springer International Publishing
Reference14 articles.
1. Xie, Y., et al.: Real-time prediction of docker container resource load based on a hybrid model of arima and triple exponential smoothing. IEEE Trans. Cloud Comput. 10(2), 1386–1401 (2022)
2. Kumar, S., Muthiyan, N., Gupta, S., Dileep, A.D., Nigam, A.: Association learning based hybrid model for cloud workload prediction. In 2018 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. IEEE (2018)
3. Meng, Y., Rao, R., Zhang, X., Hong, P.: CRUPA: A container resource utilization predic-tion algorithm for auto-scaling based on time series analysis. In 2016 International Conference on Progress in Informatics and Computing (PIC), pp. 468–472. IEEE (2016)
4. Sysdig, https://sysdig.com/2022-cloud-native-security-and-usage-report. Last accessed 03 Jun 2022
5. eBPF, https://ebpf.io. Last accessed 03 Jun 2022