失去控制:使用自主装配、感知和学习的紧急软件系统的案例

Barry Porter, Roberto Rodrigues Filho
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引用次数: 21

摘要

架构自组织,其中软件模块的不同配置是基于当前上下文动态组装的,已被证明是软件随着时间的推移进行自我优化的有效方法。目前解决这一问题的方法严重依赖于人类主导的定义:控制自组织如何运作的模型、政策和流程。我们提出了一个范例转移到完全紧急的计算机软件的案例,它将理解的负担完全交给了软件本身。这些系统是在运行时根据发现的组成部分自主组装的,它们的内部运行状况和外部部署环境会持续受到监控。然后,一个在线的无监督学习系统使用运行时适应性来探索可选择的系统组合并找到最佳解决方案。根据我们迄今为止的经验,我们定义了紧急软件的问题空间,并给出了一个紧急web服务器的工作案例研究。我们的结果展示了本案例研究的问题空间的两个方面:不同的行为集合在不同的部署环境条件下是最佳的,并且这些集合可以在系统在线时从广义感知数据中自主学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Losing Control: The Case for Emergent Software Systems Using Autonomous Assembly, Perception, and Learning
Architectural self-organisation, in which different configurations of software modules are dynamically assembled based on the current context, has been shown to be an effective way for software to self-optimise over time. Current approaches to this rely heavily on human-led definitions: models, policies and processes to control how self-organisation works. We present the case for a paradigm shift to fully emergent computer software which places the burden of understanding entirely into the hands of software itself. These systems are autonomously assembled at runtime from discovered constituent parts and their internal health and external deployment environment continually monitored. An online, unsupervised learning system then uses runtime adaptation to explore alternative system assemblies and locate optimal solutions. Based on our experience to date, we define the problem space of emergent software, and we present a working case study of an emergent web server. Our results demonstrate two aspects of the problem space for this case study: that different assemblies of behaviour are optimal in different deployment environment conditions, and that these assemblies can be autonomously learned from generalised perception data while the system is online.
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