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3. Scheduling and Load Balancing

As parallelism now permeates all levels of modern computer systems, it opens up new opportunities for improving application performance but, at the same time, it also increases the complexity of the resource management challenge. In this environment, the importance of scheduling and load balancing as key topics in parallel computing continues to grow. In addition to long standing problems, hitherto unexplored scenarios emerge in which scheduling and load balancing may also need to be addressed in the presence of multiple and/or conflicting optimization objectives (where, for instance, energy consumption and the cost of using resources may have to be traded with performance).

This topic invites papers on all aspects related to scheduling and load balancing on parallel and distributed machines, from theoretical foundations for modelling and designing efficient and robust strategies to experimental studies, applications and practical tools and solutions. It applies to multi-core processors, servers, heterogeneous systems, HPC clusters as well as distributed systems such as clouds and global computing platforms.

Focus

All aspects related to scheduling and load balancing on parallel and
distributed machines including but not limited to:

  • Scheduling algorithms for homogeneous or heterogeneous platforms
  • Theoretical foundations of scheduling algorithms
  • Robustness of scheduling algorithms
  • Multi-objective scheduling
  • Scheduling at extreme scale
  • On-line scheduling
  • Energy awareness in scheduling and load balancing
  • Workload characterization and modelling
  • Workflow scheduling
  • Performance models for scheduling and load balancing
  • Resource Management and Awareness

Committee

Chair: Rizos Sakellariou (University of Manchester, England)
Local chair: Fanny Pascual (Université Pierre et Marie Curie, France)

Luiz Fernando Bittencourt (University of Campinas, Brazil)
Florina Ciorba (University of Basel, Switzerland)
Julita Corbalan (Barcelona Supercomputing Center, Spain)
Ivan Rodero (Rutgers University, USA)
Krzysztof Rzadca (University of Warsaw, Poland)
Uwe Schwiegelshohn (TU Dortmund, Germany)

Permanent link to this article: http://europar2016.inria.fr/conference/topics/3-scheduling-and-load-balancing/