Publications
- Esma Yildirim, Mohab Hussein, Mikhail Titov, Ozgur Ozan Kilic, “Predicting runtime and resource utilization of jobs on integrated cloud and HPC systems”, Future Generation Computer Systems, Volume 176, 2026, 108230, ISSN 0167-739X, https://doi.org/10.1016/j.future.2025.108230.
- Esma Yildirim, Mohab Hussein, Time Series Models Revisited for Replica Transfer Optimization in Cloud Storage Systems" in Proceedings of the 2025 IEEE/ACM 18th International Conference on Utility and Cloud Computing, Dec 2025. https://doi.org/10.1145/3773274.3774302
- Yildirim and A. Akon, "Predicting Short-Term Variations in End-to-End Cloud Data Transfer Throughput Using Neural Networks," in IEEE Access, vol. 11, pp. 78656-78670, 2023, doi: 10.1109/ACCESS.2023.3299311
- Dataset 1: Replica Transfer Optimization Dataset. This dataset includes time series data about multiple performance metrics about data transfers that occur in a many-to-many communication scenario where multiple client virtual machines randomly request data from multiple replica servers. The dataset is available at https://github.com/esmayildirim/replica_transfer_optimizaton.git
- Dataset 2: Job Characteristic and Resource Utilization Dataset from HPC clusters in the cloud. This dataset includes time series resource utilization data of jobs run on HPC clusters created in the cloud. The dataset is available at https://doi.org/10.5281/zenodo.15545096
- Dataset 3: Esma Yildirim, Arafat Akon, "Predicting Short-Term Variations in End-to-End Cloud Data Transfer Throughput Using Neural Networks", IEEE Dataport, August 7, 2023, doi:10.21227/9mq4-px30 https://ieee-dataport.org/documents/predicting-short-term-variations-end-end-cloud-data-transfer-throughput-using-neural#files
