Edge Computing DAG Task Scheduling Research Group

Our team focuses on advancing the field of Dependent Task Scheduling in edge computing environments. We specialize in modeling dependent tasks as Directed Acyclic Graphs (DAGs) to optimize resource allocation and improve overall system performance in edge computing scenarios. Our research encompasses:1. Development of novel scheduling algorithms for DAG-based tasks in edge computing2. Performance analysis and optimization of existing scheduling strategies3. Implementation and evaluation of DAG-based task models in various edge computing applications4. Exploration of machine learning techniques to enhance scheduling decisions5. Investigation of energy-efficient scheduling methods for edge devicesWe aim to collaborate with researchers worldwide, share our findings, and contribute to the growing body of knowledge in edge computing and task scheduling.