Integrating system state into spatio temporal graph neural network for microservice workload prediction
Microservice architecture has become a driving force in enhancing the modularity and
scalability of web applications, as evidenced by the Alipay platform's operational success …
scalability of web applications, as evidenced by the Alipay platform's operational success …
OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
Autoscaling is a critical mechanism in cloud computing, enabling the autonomous
adjustment of computing resources in response to dynamic workloads. This is particularly …
adjustment of computing resources in response to dynamic workloads. This is particularly …
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
Accurate workload forecasting is critical for efficient resource management in cloud
computing systems, enabling effective scheduling and autoscaling. Despite recent advances …
computing systems, enabling effective scheduling and autoscaling. Despite recent advances …
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making
The surging demand for cloud computing resources, driven by the rapid growth of
sophisticated large-scale models and data centers, underscores the critical importance of …
sophisticated large-scale models and data centers, underscores the critical importance of …
HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting
H Sun, W Tu, J Zhan, W Zhao - International Conference on Artificial …, 2024 - Springer
Hierarchical time series forecasting has become increasingly prominent in numerous
practical applications. While various deep neural networks have been proposed for …
practical applications. While various deep neural networks have been proposed for …