Track 2. Scheduling, resource management, cloud, edge computing, and workflows

Track 2. Scheduling, resource management, cloud, edge computing, and workflows

Chairs

* Marco Aldinucci, University of Torino, Italy
* Ivona Brandic, Vienna University of Technology, Austria

Focus

● Scheduling algorithms for homogeneous and heterogeneous platforms
● Theoretical foundations of scheduling algorithms
● Real-time scheduling on parallel and distributed machines
● Scheduling, coordination and overhead at extreme scales
● Energy and temperature awareness in scheduling and load balancing
● Resource management for HPC and Clouds
● Workload characterization and modelling
● Workflow and job scheduling
● Performance models for scheduling and load balancing
● Heterogeneous parallel programming models for the computing continuum
● Workflow environments for the computing continuum
● Parallel programming in the edge and in the computing continuum