Topic 8 Distributed Systems and Algorithms

Parallel computing is increasingly exposed to the development and challengesof distributed systems, such as the lack of load balancing, asynchrony, long latencies,network partitions, failures, disconnected operations, heterogeneity andprotocol standardization. Furthermore, distributed systems are becoming larger,more diverse and more dynamic. This Euro-Par topic provides a forum for researchand practice, of interest to both academia and industry, about distributedsystems, distributed computing, distributed algorithms, and parallel processingon distributed systems. Submission was encouraged across the whole area,with emphasis on the following: design and practice of distributed algorithmsand 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 and in distributed systems, distributedfault tolerance, security in distributed systems, scalability, concurrencyand performance in distributed systems, middleware for parallel computations,web services, interoperability and standards, self-organised and self-adjustingdistributed systems.Thirty-two papers were submitted in this topic, eight of which have beenaccepted for publication. The accepted papers cover a wide range of aspectsin the distributed system and algorithms topic. Three papers are related withthe problem of data sharing in distributed and parallel systems, two papersaddress issues related with mobile agents in graphs, and, finally, three papersaddress fundamental distributed algorithm problems, such as failure detection,consensus, and spanning tree construction