Learning-driven hybrid scaling for multi-type services in cloud

• Published in: Journal of parallel and distributed computing Vol. 189; p. 104880
• Main Authors: Zhang, Haitao, Guo, Tongyu, Tian, Wei, Ma, Huadong
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.07.2024
• Subjects: Anomaly correction; Deep reinforcement learning; Hybrid auto-scaling; Multi-type services; Workload prediction; Anomaly correction; Multi-type services; Deep reinforcement learning; Hybrid auto-scaling; Workload prediction

In order to deal with the fast changing requirements of container based services in clouds, auto-scaling is used as an essential mechanism for adapting the number of provisioned resources with the variable service workloads. However, the latest auto-scaling approaches lack the comprehensive consider...