Workload Forecasting Projects for ME, MTech, Masters, MS abroad, and PhD students. These Workload Forecasting ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Workload Forecasting Projects
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Robustness of Workload Forecasting Models in Cloud Data Centers: A White-Box Adversarial Attack Perspective
This project studies how deep learning models predict workloads in cloud computing. The researchers show that these models can be easily tricked by specially crafted fake data. They tested several advanced models on popular cloud datasets and found them vulnerable. The work highlights the need for stronger defenses to make cloud systems more secure and reliable.
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