1. ADVISOR PRAPAPORN RATTANATAMRONG
Information acquired: 2025
ADVISOR PRAPAPORN RATTANATAMRONG is an academic who published a paper in 2021 entitled Migrating data and application between Kubernetes edge servers. ADVISOR PRAPAPORN RATTANATAMRONG published this work as part of a team: Suchanat Mangkhangcharoen. Here is a description of this work: Edge devices are nearer to users than the cloud and can compute data and return results to users faster than the cloud, making them more suitable for applications that need to respond in real-time. Deep neural network (DNN) models are increasingly used in edge devices such as smartphones. Examples of such applications are a translation application, image recognition, etc. Since the edge devices have resource limitations, they might have issues when running the DNN models, which need powerful hardware. We generally trade off accuracy with less computation by limiting the number of parameters and layers of the DNN models to fit appropriately with the underlying edge resources. Furthermore, the edge environment also has many issues with network latency, scalability, and energy efficiency. Data migration and applications can mitigate such limitations. Also, migration.