空间弹性-应用系统思维方法

James Scott, M. Mansouri
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引用次数: 0

摘要

在分布式计算系统的背景下,弹性是指系统在以下情况下支持任务成功所必需的服务和功能的能力:(1)高概率,(2)在大范围的操作场景、故障条件和攻击向量中能力降低的持续时间较短[1]。传统的系统工程分析将系统视为功能分解的独立部分的集合,允许分析人员对系统进行推理,但对紧急系统行为的理解有限。相反,系统思维将系统视为一个整体,允许分析人员从系统中进行推理,从而更好地理解功能上的相互依赖关系和紧急系统行为。本文介绍了一种混合方法,称为应用系统思维,它包含了传统系统工程的分析方法,并辅以已建立的系统思维工具包,允许系统工程师同时对系统和系统进行推理。本文的目标是:(a)使用应用系统思维工具包中的技术解决系统弹性的概念,(b)讨论系统弹性,因为它适用于系统的系统,使用非地面网络(NTN)作为参考框架,以及(c)提供一个初步的深入研究,旨在开发一个包含其组成部分的服务可用性原则框架,如系统可用性,可靠性,在相关的服务水平协议(SLA)中找到的合同参数的弹性、生存性和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resilience in Space — An Applied Systems Thinking Approach
In the context of distributed computing systems, resilience refers to the ability of the system to support the services and functions essential to mission success with (i) high probability, and (ii) shorter durations of reduced capability across a wide range of operational scenarios, failure conditions, and attack vectors [1]. Traditional systems engineering analysis views a system as a collection of functionally decomposed, independent parts, allowing analysts to reason about the system but providing limited understanding of emergent system behaviors. Conversely, systems thinking views the system as a whole, allowing the analyst to reason from the system, enabling a better understanding of functional interdependencies and emergent system behaviors. This paper introduces a hybrid methodology, referred to as Applied Systems Thinking, that embraces both the analytical methods of traditional systems engineering complemented by the established systems thinking toolkit, allowing the system engineer to both reason about the system and from the system at the same time. The objectives of this paper are to (a) address the concept of system resilience using techniques from the Applied Systems Thinking toolkit, (b) to discuss system resilience as it applies to system of systems, using Non-Terrestrial Networks (NTN) as a reference framework, and (c) to provide an initial foray into more in-depth research that intends to develop a principled framework for Service Availability that incorporates its constituent components, such as system availability, reliability, resilience, survivability, and verification of the contractual parameters found in an associated Service Level Agreement, or SLA.
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