Autonomic systems manage their own behaviour in accordance with high-level goals. This paper presents a brief outline of challenges related to Autonomic Computing due to uncertainty in the operational environments, and the role that firstname.lastname@example.org play in meeting them. We argue that the existing progress in Autonomic Computing can be further exploited with the support of runtime models. We briefly discuss our ideas related to the need to understand the extent to which the high-level goals of the autonomic system are being satisfied to support decision-making based on runtime evidence and, the need to support self-explanation.
|2017 IEEE International Conference on Autonomic Computing (ICAC)
|14th IEEE International Conference on Autonomic Computing, ICAC 2017
|17/07/17 → 21/07/17
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