Topic 8: Distributed Systems and Algorithms

Description

Parallel computing is increasingly exposed to the development and challenges of distributed systems, such as the lack of load balancing, asynchrony, long latencies, network partitions, failures, malicious and selfish behavior, disconnected operations, well-suited computing models and data structures, heterogeneity. Furthermore, distributed systems are becoming larger, more diverse and more dynamic (changing topology, highly dynamic number of participants). This Euro-Par topic provides a forum for research and practice, of interest to both academia and industry, about distributed systems, distributed computing, distributed algorithms, and parallel processing on distributed systems.

Focus

We encourage submission of papers across the whole area, with emphasis on the following:

• Design and practice of distributed algorithms and data structures
• Analysis of the behaviour of distributed systems and algorithms
• Distributed operating systems
• Parallel processing on distributed systems
• Resource and service discovery
• Resource sharing in distributed systems
• Distributed fault tolerance
• Security in distributed systems
• Scalability, concurrency and performance of distributed systems
• Transactional memory
• Middleware for parallel computations
• Web services
• Self-organized and self-adjusting distributed systems
• Collaborative computing
• Modelling distributed environments
• Communication protocols

Topic Committee

Global Chair
Pascal Felber, Université de Neuchâtel, Switzerland

Local Chair
Luís Veiga, IST-University of Lisbon, Portugal

Further Members
Corentin Travers, ENSEIRB-MATMECA, France
Fabio Kon, University of São Paulo, Brazil
Paul Grace, University of Southampton, UK
Vincent Gramoli, University of Sydney, Australia