Abstract
The first panel in WAC2005 focused on the relation between autonomicity and complexity. It is widely believed that autonomicity is a principle that can reduce complexity, but there is also concern that autonomicity itself is complexity-producing. Autonomicity promotes all “self-*” attributes of a system and naturally distributes responsibilities and costs, but it can also bring the system close to a state of “anarchy” (modern Greek interpretation of “autonomous”) if not properly handled. It appears that the overall system complexity may increase, but it is distributed and shared (hence, it is potentially easier to manage), in a similar way in which Integrated Circuits encapsulate the increased complexity and hide it from the bigger system. In addition to reducing complexity in the above sense, autonomicity can also help design truly adaptable, self-tuning and “all-weather” near-optimal systems, something not possible under traditional system design that are difficult to cope with the combined fine-tuning of a very large number of parameters.
This report was supported in part by the IST FET Coordination Action ACCA (IST-6475).
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-540-32993-0_29
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Stavrakakis, I., Panagakis, A. (2006). Panel 1 Report: Autonomicity Versus Complexity. In: Stavrakakis, I., Smirnov, M. (eds) Autonomic Communication. WAC 2005. Lecture Notes in Computer Science, vol 3854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11687818_27
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DOI: https://doi.org/10.1007/11687818_27
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