Enabling autonomic computing with computational intelligence

计算机软件系统未来发展的一个障碍在于它们日益增长的复杂性。在不远的将来，我们将达到这样一种状态，即这些系统的操作对人类专家来说将是棘手的。自主计算范式提出了一个解决方案，旨在开发由许多相互作用的自我管理模块组成的计算机软件系统。这在一定程度上可以通过使用开放标准进行服务发现和模块之间的通信来实现。但自主计算也需要在软件系统中注入智能和健壮性，以便将人类操作员从低层细节中解放出来。计算智能包含了许多结合了学习、适应、进化和模糊性元素的技术。使用这些技术开发自我管理的软件系统看起来很有希望，并将在当前研究计划的背景下进行探索。

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.