迈向可持续自我意识服务系统的路线图

S. Dustdar, C. Dorn, Fei Li, L. Baresi, Giacomo Cabri, C. Pautasso, F. Zambonelli
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引用次数: 32

摘要

自我意识和自我适应已经成为大型系统的主要关注点,因为它们已经变得过于复杂,无法由人类管理员单独管理,而是需要人与软件服务之间新的协调机制的混合。本文通过将全球目标的自我意识与可持续性约束相结合,提出了有效和高效的系统适应路线图。大规模系统的可持续性以其全球性和长期影响的内在特征对自适应方法提出了挑战。我们介绍了五个层次的意识:(i)事件意识,(ii)态势意识,(iii)适应性意识,(iv)目标意识,(v)未来意识。在每个级别中,我们介绍了适用的原则,并随后概述了必要的模型、算法和协议。该方法特别注重人员和服务要素的相互依赖关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A roadmap towards sustainable self-aware service systems
Self-awareness and self-adaptation have become primary concerns in large-scale systems as they have become too complex to be managed by human administrators alone, but rather require a new blend of coordination mechanisms between people and software services. This paper presents a roadmap to effective and efficient system adaptation through coupling self-awareness of global-level goals with sustainability constraints. Sustainability of large-scale systems challenges self-adaptation approaches by its intrinsic characters of global and long-lasting effects. We introduce five levels of awareness: (i) event-awareness, (ii) situation-awareness, (iii) adaptability awareness, (iv) goal-awareness, and (v) future-awareness. Within each level we introduce applicable principles and subsequently outline necessary models, algorithms, and protocols. The approach puts special focus on the interdependencies of human and service elements.
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