Abstract
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, disconnected operations, heterogeneity and protocol standardization. Furthermore, distributed systems are becoming larger, more diverse and more dynamic. 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. Submission was encouraged 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 and in distributed systems, distributed fault tolerance, security in distributed systems, scalability, concurrency and performance in distributed systems, middleware for parallel computations, web services, interoperability and standards, self-organised and self-adjusting distributed systems.
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© 2007 Springer-Verlag Berlin Heidelberg
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Rodrigues, L., Mostefaoui, A., Fetzer, C., Tsigas, P. (2007). Topic 8 Distributed Systems and Algorithms. In: Kermarrec, AM., Bougé, L., Priol, T. (eds) Euro-Par 2007 Parallel Processing. Euro-Par 2007. Lecture Notes in Computer Science, vol 4641. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74466-5_58
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DOI: https://doi.org/10.1007/978-3-540-74466-5_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74465-8
Online ISBN: 978-3-540-74466-5
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