The need to adaptively manage computer systems and networks so as to offer good Quality of Service (QoS) and Quality of Experience (QoE) with secure operation at relatively low levels of energy consumption is challenged by their sheer complexity and the wide variability of the workloads. A possible way forward is through self-awareness, whereby self-measurement and self-observation, together with on-line control mechanisms, operate adaptively to attain the required performance and QoE. We survey the premises for these ideas arising from cognitive science and active networks and review recent work on self-aware computer systems and networks, including those that propose the use of software-defined networks as a means to implement these concepts. Then we provide some examples from the literature on self-aware systems to illustrate the performance gains that they can provide. Finally, we detail an example system and its working algorithms to allow the reader to understand how such a system may be implemented. Measurements showing how it can react rapidly to changing network conditions regarding QoS and security are presented. Some conclusions and suggestions for further work are listed.

中文翻译：

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可优化安全性、QoS 和能源的自我感知网络

自适应地管理计算机系统和网络以提供良好的服务质量 (QoS) 和体验质量 (QoE)，并以相对较低的能耗水平安全运行的需求受到其纯粹复杂性和工作负载的广泛可变性的挑战. 一种可能的前进方式是通过自我意识，即自我测量和自我观察以及在线控制机制，自适应地运行以获得所需的性能和 QoE。我们调查了认知科学和主动网络产生的这些想法的前提，并回顾了最近关于自我意识计算机系统和网络的工作，包括那些建议使用软件定义网络作为实现这些概念的手段的工作。然后我们提供了一些关于自我意识系统的文献的例子来说明它们可以提供的性能提升。最后，我们详细介绍了一个示例系统及其工作算法，以使读者了解如何实现这样的系统。测量显示它如何能够对有关 QoS 和安全性的不断变化的网络条件做出快速反应。列出了一些结论和对进一步工作的建议。