Description

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.

Focus

• 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

Topic Committee

Global chair
Zhihui Du, Tsinghua University, China

Local chair
Ramin Yahyapour, Göttingen University, Germany

Further members
Yuxiong He, Microsoft, USA
Nectarios Koziris, National Technical University of Athens, Greece
Bilha Mendelson, IBM Haifa Research Lab, Israel
Veronika Sonigo, Université de Franche-Comté, France
Achim Streit, Karlsruhe Institute of Technology, Germany
Andrei Tchernykh, Center for Scientific Research and Higher Education at Ensenada, Mexico