Robust auto-scaling with probabilistic workload forecasting for cloud databases

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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Bibliographic Details
Main Authors: HANG, Haitian, TANG, Xiu, SUN, Jianling, BAO, Lingfeng, LO, David, WANG, Haoye
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Resource Scaling
Workload Forecasting
Cloud Databases
Software Engineering
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

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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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