Date: Jan. 17-19, 2024

Same as ICOIN 2024 regular paper

Most of the major cloud service providers are launching AI services on conventional cloud services (PaaS & IaaS). Also many computing HW resources (such as CPU, VPU, TPU,GPU,FPGA) in cloud data center are used to train large scale AI models handling huge amounts of data including multimodal information. Many companies also have been trying to incorporate AI services fastly to have marketing advantages among competitors using diverse cloud computing infrastructures. Thus, cloud computing faces several issues to provide energy efficient AI services, hyper-scale federated learning & model delivery, highly scalable and heterogeneous resource management for compute and store. Cloud continuum as emerging infrastructure including diverse cloud resources for future AI services including real-time train data collection for hyperscale AI model train and serving is highly considered to research fields around world.

The direct link for paper submission is https://edas.info/N31024.

Topics of interest include, but are not limited to the following.