Abstract
The increasing significance of Distributed Computing becomes more and more crucial with the prevail of technological advances that make Global Computing a reality in modern world. Indeed, it is hard to imagine some application or computational activity and process that falls outside Distributed Computing. With the large advent of distributed systems, we are faced with the real challenges of distributed computation: How do we cope with asynchrony and failures? How (and how well) do we achieve load balancing? How do we model and analyze malicious and selfish behavior? How do we address mobility, heterogeneity and the dynamic nature of participating processes? What can we achieve in the presence of disconnecting operations that cause network partitioning?
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© 2012 Springer-Verlag Berlin Heidelberg
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Goscinski, A., Mavronicolas, M., Shi, W., Meng, T.Y. (2012). Topic 8: Distributed Systems and Algorithms. In: Kaklamanis, C., Papatheodorou, T., Spirakis, P.G. (eds) Euro-Par 2012 Parallel Processing. Euro-Par 2012. Lecture Notes in Computer Science, vol 7484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32820-6_40
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DOI: https://doi.org/10.1007/978-3-642-32820-6_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32819-0
Online ISBN: 978-3-642-32820-6
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