JSSPP 2014 - Workshop on Job Scheduling Strategies for Parallel Processing

The JSSPP workshop addresses all scheduling aspects of parallel processing.
Large parallel systems have been in production for over 25 years. Initially, they were primarily used in scientific computing. But with the advance of Cloud computing and new processor paradigms such as multi-core systems and reconfigurable architectures, scheduling in parallel systems has grown in relevance and scope, significantly extending its original focus. JSSPP has evolved with the area and now fully covers parallel scheduling for commercial environments while still maintaining strong interest in its traditional areas: scientific computing, supercomputing, and cluster platforms.
From its very beginning, JSSPP has strived to balance practice and theory in its program. This combination provides a rich environment for technical debate about scheduling approaches including both academic researchers as well as participants from industry. JSSPP is a high-visibility workshop, which has been ranking repeatedly in the top 10% of Citeseer's venue impact list.
JSSPP solicits papers that belong to any of the following topics, although papers on other themes that are relevant in the context of JSSPP are welcome as well:
Performance evaluation of parallel scheduling approaches, including methodology, benchmarks, and metrics.
Design of, and experience with, scheduling approaches for production systems.
Workloads on parallel processing systems, including characterization, classification, and modeling.
Consideration of additional constraints in scheduling systems, like job priorities, accounting, load estimation, and quality of service guarantees.
Scaling and composition of very large scheduling systems.
Interaction between schedulers on different levels, like processor level as well as whole single- or even multi-owner systems.
Impact of scheduling strategies on application performance, user friendliness, cost efficiency, and energy efficiency.