The rising complexity of distributed computer systems give reason to investigate self-organization mechanism to build systems that are self-managing in the sense of Autonomic and Organic Computing. In this paper we propose the Artificial Hormone System (AHS) as a general approach to build self-organizing systems based on networked nodes. The Artificial Hormone System implements a similar information exchange between networked nodes like the human hormone system does between cells. The artificial hormone values are piggy-backed on messages to minimize communication overhead. To show the efficiency of the mechanism even for large scale systems we implemented a simulation environment, in Java to evaluate different optimization strategies. The evaluations show that local information is enough to meet global optimization criterion. © 2006 International Federation for Information Processing.
CITATION STYLE
Trumler, W., Thiemann, T., & Ungerer, T. (2006). An artificial hormone system for self-organization of networked nodes. IFIP International Federation for Information Processing, 216, 85–94. https://doi.org/10.1007/978-0-387-34733-2_9
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