在运行时目标模型中建模临时目标

IF 2.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rebecca Morgan , Simon Pulawski , Matt Selway , Aditya Ghose , Georg Grossmann , Wolfgang Mayer , Markus Stumptner , Ross Kyprianou
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引用次数: 0

摘要

针对现有IT基础架构中不断变化的需求实现实时敏捷性和适应性可能会带来复杂的挑战。我们描述了一种以目标为导向的方法来管理这种复杂性。我们认为,面向目标的视角可以形成一个有效的基础,用于在运行时设计和部署对变化需求的响应。我们通过提出两个新颖的概念来提供目标类型的扩展词汇:微分目标和积分目标,我们在线性时间和分支时间设置中对其进行了形式化。我们描述了目标生命周期和交互,以及上下文的扩展概念,用于表示快速变化的复杂操作环境。然后,我们通过在Kubernetes环境中面对分布式拒绝服务(DDoS)攻击的详细适应场景来说明该方法的工作原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling temporal goals in runtime goal models

Achieving real-time agility and adaptation with respect to changing requirements in existing IT infrastructure can pose a complex challenge. We describe a goal-oriented approach to manage this complexity. We argue that a goal-oriented perspective can form an effective basis for devising and deploying responses to changed requirements at runtime. We offer an extended vocabulary of goal types by presenting two novel conceptions: differential goals and integral goals, which we formalize in both linear-time and branching-time settings. We describe goal lifecycles and interactions and the extended notion of context for the representation of rapidly changing, complex operating environments. We then illustrate the working of the approach by presenting a detailed scenario of adaptation in a Kubernetes setting, in the face of a Distributed Denial-of-Service (DDoS) attack.

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来源期刊
Data & Knowledge Engineering
Data & Knowledge Engineering 工程技术-计算机:人工智能
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 months
期刊介绍: Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.
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