Topic 3: Scheduling and Load Balancing


The parallel and distributed systems available today are still not fully exploited. Scheduling and load balancing issues are crucial for a better use. Related techniques provided at both application and system levels are of interest for this topic. At the application level, the mapping of applications onto the underlying computing platforms, and the development of dynamic algorithms that are able to adapt to the particular characteristics and the actual utilization of the systems are of particular relevance. At the system level, areas of interest include the support of modern multi-core architectures, huge data centers, and virtual systems like Cloud infrastructures.

The topic covers all aspects related to scheduling and load balancing from theoretical foundations for modeling and designing efficient and robust strategies to experimental studies, applications and practical tools. This applies to HPC parallel computers as well as distributed systems such as grids, clouds and global computing platforms.


  • Scheduling algorithms for homogeneous or heterogeneous platforms
  • Theoretical foundations of scheduling algorithms
  • Robustness of scheduling algorithms
  • Multi-criteria scheduling
  • Decentralized or hierarchical scheduling
  • Resource management for HPC, Grids and Clouds
  • Evaluation and analysis of load balancing and scheduling techniques
  • Implementations of scheduling and load-balancing algorithms
  • Workload characterization and modeling
  • Workflow and job scheduling
  • Performance models for scheduling and load balancing
  • Power-aware and thermal-aware methods in scheduling and load balancing
  • Energy efficient scheduling
  • Multi-objective scheduling
  • Concurrent workflow scheduling

Topic Committee

Global Chair
Helen Karatza, Aristotle University of Thessaloniki, Greece

Local Chair
Jorge Barbosa, University of Porto, Portugal

Further Members
Ramin Yahyapour, Göttingen University, Germany
Nick Bessis, The University of Derby, UK
Frédéric Suter, IN2P3 Computing Center, CNRS, France
Andrzej Goscinski, Deakin University, Australia
Alexandru Iosup, Delft University of Technology, Netherlands
Cevdet Aykanat, Bilkent University, Ankara, Turkey