Track 2 - Scheduling, Resource Management, Cloud, Edge Computing, and Workflows

Chairs

  • Sascha Hunold, TU Wien, Austria
  • Daniel Cordeiro, Universidade de Sao Paulo, Brazil

Program Committee

  • Atakan Aral, University of Vienna
  • Luciana Arantes, Universite Pierre et Marie Curie-Paris6
  • Muhammad Ajmal Azad, Birmingham City University England
  • Anne Benoit, ENS Lyon - LIP
  • Joanna Berlińska, Adam Mickiewicz University, Poznań
  • Luiz F. Bittencourt, University of Campinas
  • Francisco Brasileiro, UFCG
  • Rodrigo N. Calheiros, Western Sydney University
  • Valeria Cardellini, University of Roma “Tor Vergata”
  • Anderson Andrei Da Silva, Hewlett Packard Labs
  • Anthony Danalis, University of Tennessee
  • Marios Dikaiakos, University of Cyprus
  • Ciprian Dobre, University Politehnica of Bucharest
  • Pierre-Francois Dutot, Université Grenoble Alpes
  • Alfredo Goldman, University of São Paulo
  • Maxime Gonthier, University of Chicago
  • Carlos Guerrero, Universitat de les Illes Balears
  • Nectarios Koziris, National Technical University of Athens
  • Marco Lapegna, University of Naples Federico II
  • Minming Li, City University of Hong Kong
  • Francesc Lordan, Barcelona Supercomputing Center
  • Maciej Malawski, AGH University of Science and Technology
  • Anirban Mandal, Renaissance Computing Institute
  • Loris Marchal, CNRS
  • Katzalin Olcoz, Universidad Complutense de Madrid
  • Carla Osthoff Barros, National Laboratory for Scientific Computing LNCC
  • Guillaume Pallez, INRIA
  • Nikela Papadopoulou, University of Glasgow
  • Fanny Pascual, Sorbonne Université
  • Radu Prodan, University of Klagenfurt
  • Veronika Rehn-Sonigo, FEMTO-ST
  • Jason Riedy, AMD
  • Silvio Rizzi, Argonne National Laboratory
  • Krzysztof Rzadca, University of Warsaw
  • Oliver Sinnen, University of Auckland
  • Jacopo Soldani, University of Pisa
  • Dante Sánchez-Gallegos, Universidad Carlos III de Madrid
  • Javid Taheri, Karlstad University
  • Alok Tripathy, UC Berkeley
  • Carlos A. Varela, Rensselaer Polytechnic Institute
  • Massimo Villari, University of Messina
  • Vladimir Vlassov, KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science
  • Ramin Yahyapour, GWDG - University of Göttingen

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, temperature, and carbon awareness in scheduling and load balancing        
  • Workload characterization and modeling            
  • Workflow and job scheduling    
  • Performance models for scheduling and load balancing  
  • Resource management for HPC, Edge and Cloud Computing        
  • Parallel programming models for the computing continuum