Robust auto-scaling with probabilistic workload forecasting for cloud databases
Auto-scaling is crucial for achieving elasticity in cloud databases as well as other cloud systems. Predictive auto-scaling, which leverages forecasting techniques to adjust resources based on predicted workload, has been widely adopted. However, the inherent inaccuracy of forecasting presents a sig...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9264 https://ink.library.smu.edu.sg/context/sis_research/article/10264/viewcontent/Robust_Auto_Scaling_ICDE2024_av.pdf |
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| Institution: | Singapore Management University |
| Language: | English |