TY - GEN
T1 - Comparison of Microsoft Azure, Google Cloud, and Amazon Web Services for High-Performance Computing
AU - Putri, Sonia Tisa
AU - Pradipta, I. Gusti Lanang Agung Oka Cahyadi
AU - Widangsa, Alringga Rizky
AU - Kusuma, Irnayanti Dwi
AU - Rahmat, Ghulam Alvi
AU - Shiddiqi, Ary Mazharuddin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This study investigates computing-optimized instances from Microsoft Azure, Google Cloud, and Amazon Web Services (AWS). Each platform is rigorously evaluated using established high-performance computing (HPC) benchmarks, including HPCC and HPCG, to assess their computational efficiency comprehensively. These benchmarks aim to demonstrate that the optimal cloud solution is application-specific, varying based on workload characteristics. This study offers insights into optimizing cloud resource allocation and management strategies through a comprehensive analysis. The findings are expected to guide organizations in achieving optimal high-performance computing configurations within cloud environments for more efficient computational resources and big data analytics.
AB - This study investigates computing-optimized instances from Microsoft Azure, Google Cloud, and Amazon Web Services (AWS). Each platform is rigorously evaluated using established high-performance computing (HPC) benchmarks, including HPCC and HPCG, to assess their computational efficiency comprehensively. These benchmarks aim to demonstrate that the optimal cloud solution is application-specific, varying based on workload characteristics. This study offers insights into optimizing cloud resource allocation and management strategies through a comprehensive analysis. The findings are expected to guide organizations in achieving optimal high-performance computing configurations within cloud environments for more efficient computational resources and big data analytics.
KW - Amazon AWS
KW - Google Cloud
KW - Microsoft Azure
KW - cloud computing
UR - https://www.scopus.com/pages/publications/85216550632
U2 - 10.1109/ICITDA64560.2024.10809404
DO - 10.1109/ICITDA64560.2024.10809404
M3 - Conference contribution
AN - SCOPUS:85216550632
T3 - Proceeding of 2024 9th International Conference on Information Technology and Digital Applications, ICITDA 2024
BT - Proceeding of 2024 9th International Conference on Information Technology and Digital Applications, ICITDA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Information Technology and Digital Applications, ICITDA 2024
Y2 - 7 November 2024 through 8 November 2024
ER -