Enabling autonomic computing with computational intelligence

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An obstacle to future developments of computer software systems lies in their ever-increasing complexity. In a not-so-distant future, we will reach a state where the operation of these systems will be intractable for human experts. A solution to this has been proposed in the autonomic computing paradigm, which aims at developing computer software systems made of many interacting self-managing modules. This can be achieved in part through the use of open standards for service discovery and communication between modules. But autonomic computing also requires the injection of intelligence and robustness in the software systems, in order to free human operators from low-level details. Computational intelligence encompasses many techniques combining elements of learning, adaptation, evolution, and fuzziness. Using these techniques for the development of self-managing software systems looks promising, and will be explored within the context of the current research program.