Robust auto-scaling with probabilistic workload forecasting for cloud databases

• المؤلفون الرئيسيون: HANG, Haitian, TANG, Xiu, SUN, Jianling, BAO, Lingfeng, LO, David, WANG, Haoye
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2024
• الموضوعات: Resource Scaling; Workload Forecasting; Cloud Databases; Software Engineering
• الوصول للمادة أونلاين: 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
• المؤسسة: Singapore Management University

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...