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

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


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


● 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


Track 2
Anne Benoit, ENS Lyon, France
Valeria    Cardellini, University of Roma "Tor Vergata", Italy
Iacopo Colonnelli, Università di Torino, Italy
Patrizio Dazzi, University of Pisa, Italy
Rafael    Ferreira da Silva, Oak Ridge National Laboratory, USA
Marco Lapegna, Università degli Studi di Napoli Federico II, Italy
Simone Leo, CRS4, Italy
Anirban    Mandal, Renaissance Computing Institute, USA
Loris Marchal, CNRS, France
Raffaele Montella, University of Naples Parthenope, Italy
Grégory    Mounié, University Grenoble-Alpes, France
Dimitrios Nikolopoulos, Virginia Tech, USA
Maria S. Perez, Universidad Politécnica de Madrid, Spain
Krzysztof Rzadca, University of Warsaw, Poland
Uwe Schwiegelshohn, TU Dortmund, Germany
Oliver Sinnen, University of Auckland, New Zealand
Frédéric Vivien, INRIA, France
Ramin Yahyapour, University of Göttingen, Germany