Topic 08: 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, 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. We encourage submission of papers across the whole area, with emphasis on the following:

Focus

  • 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-organised and self-adjusting distributed systems
  • Collaborative computing
  • Modelling distributed environments
  • Communication protocols

Topic Committee

Global chair

Dariusz Kowalski, University of Liverpool, UK

Local chair

Pierre Sens, University Paris 6, France

Vice-chairs

Antonio Fernandez Anta, IMDEA Networks, Spain
Guillaume Pierre, VU University Amsterdam, The Netherlands