Middleware Support for Edge Data Analytics over Heterogeneous Scenarios
Bo Hu, Wenjun Hu · 2023
Edge intelligence has been gaining traction and sophistication. The execution settings may range from a small cluster as an edge cloud to on-device inference on embedded devices, differing in hardware capability over orders of magnitude. The application scenarios for edge data analytics increasingly involve multimodal sensory input (e.g., combining audio, video, and text input) for richer contextual understanding. However, there is insufficient system support to handle the growing complexity and heterogeneity in edge analytics. Application development and deployment still require substantial domain knowledge of both multimodal inference and myriad execution environments.