Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey
Cited by 86
Related Papers
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism
|The Journal of Supercomputing|2022|75
Host load prediction in cloud computing with Discrete Wavelet Transformation (DWT) and Bidirectional Gated Recurrent Unit (BiGRU) network
|Computer Communications|2022|67
K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder
|Journal of Grid Computing|2022|25
Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model
|Journal of Parallel and Distributed Computing|2024|21
DCSP: A delay and cost-aware service placement and load distribution algorithm for IoT-based fog networks
|Computer Communications|2023|16