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Syeduzzaman Khan
Syeduzzaman Khan
University of the Pacific
在 u.pacific.edu 的电子邮件经过验证
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A2Cloud‐RF: A random forest based statistical framework to guide resource selection for high‐performance scientific computing on the cloud
D Samuel, S Khan, CJ Balos, Z Abuelhaj, AD Dutoi, C Kari, D Mueller, ...
Concurrency and Computation: Practice and Experience 32 (24), e5942, 2020
112020
A2Cloud-H: A Multi-tiered Machine Learning Framework for Cost-Effective Cloud Resource Selection
X Ai, T Jena, S Khan, R Hughes, VK Pallipuram
Proceedings of the Future Technologies Conference (FTC) 2021, Volume 3, 272-291, 2022
32022
A2Cloud-cc: A Machine Learning Council to Guide Cloud Resource Selection for Scientific Applications
L Her, S Khan, D Samuel, X Ai, S Chen, VK Pallipuram
2020 IEEE 19th International Symposium on Network Computing and Applications …, 2020
32020
A Probabilistic Machine Learning Framework for Cloud Resource Selection on the Cloud
S Khan
University of the Pacific, 2020
12020
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