Abstract
Autonomic computing is one of the most promising techniques for managing the complexity of modern software applications. It fosters the idea of systems able to autonomously detect anomalies and react accordingly. Supervision and actual business logic are intertwined and work together to supply the autonomic features.
The paper presents our ongoing work on loose compositions for autonomic systems and introduces the first ideas of a framework based on Java, aspect oriented programming, and rules. The paper also sketches a first prototype implementation, based on the DIET agent framework.
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Baresi, L., Tamburrelli, G. (2008). Loose Compositions for Autonomic Systems. In: Pautasso, C., Tanter, É. (eds) Software Composition. SC 2008. Lecture Notes in Computer Science, vol 4954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78789-1_13
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DOI: https://doi.org/10.1007/978-3-540-78789-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78788-4
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