Abstract
Self-organizing systems (SOS) hold the promise of addressing many challenges in large scale distributed systems, especially in reducing the need for human intervention for configuration, recovery from failures, and performance optimization. While there are many principles for creating SOS such as minimizing dependencies between components and avoiding the use of globally shared state, we lack a systematic methodology. This talk explores how techniques from control theory and game theory might be used in combination to engineer SOS. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Hellerstein, J. L. (2007). Engineering self-organizing systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4725 LNCS, p. 1). Springer Verlag. https://doi.org/10.1007/978-3-540-74917-2_1
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