Edge Stream Processing

Proposed Edge Stream Processing Architecture: Amnis 😄

Overview

The proliferation of Internet-of-Things (IoT) devices is rapidly increasing the demands for efficient processing of low latency stream data generated close to the edge of the network. Edge computing-based stream processing techniques that carefully consider the heterogeneity of the computational and network resources available in the infrastructure provide significant benefits in optimizing the throughput and end-to-end latency of the data streams.

Jinlai Xu (徐锦来)
Jinlai Xu (徐锦来)
Researcher/Engineer

My research interests include Big Model Training/Inference/Finetune Framework, Serverless Computing, Distributed Systems, Fog/Edge and Cloud Computing, Stream Processing Optimization and Blockchain-based Techniques

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