构建超大规模的绿色信息系统

Hong-Mei Chen, R. Kazman
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引用次数: 17

摘要

随着环境可持续性问题成为社会和政府关注的焦点,一种新型的绿色信息系统(IS)——超大规模绿色信息系统(ULS)正在兴起。ULS绿色信息系统是一个开放的社会技术生态系统,在规模、复杂性和紧迫性方面不同于传统的信息系统。在ULS系统、系统的系统、边缘主导、大都市系统和绿色IS中发现的设计问题在ULS绿色IS背景下融合并成倍增加。本文提出了一种设计框架和体系结构分析方法ECO-ARCH,以解决此类系统的设计问题。通过对智能电网需求响应系统架构的行动研究,本文阐明了ULS绿色信息系统的系统特征,并赞同其设计思维的根本转变——从解决问题的“有限理性”到设计未知和创新的“可扩展理性”。ECO-ARCH推进了现有的软件架构分析方法,通过在宏观-微观的双重层次分析中补充可扩展理性设计思维和成熟的工程技术。这解决了ULS Green IS的独特架构问题,其中许多利益相关者是未知的,没有提供设计目标,没有预先存在的架构,系统行为是不确定的且不断发展的,以及与消费者和生产消费者的共同创造对于实现三重底线目标至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Architecting ultra-large-scale green information systems
As environmental sustainability issues have come to the societal and governmental forefront, a new breed of Green Information Systems (IS) - Ultra-Large-Scale (ULS) Green IS - is emerging. A ULS Green IS is an open socio-technical ecosystem that differs from traditional IS in scale, complexity and urgency. Design issues found in ULS systems, System of Systems, Edge-dominant, Metropolis systems and Green IS converge and multiply in the ULS Green IS context. This paper presents a design framework and an architecture analysis method, ECO-ARCH, to address the design of such systems. Through an action research study on architecting for Demand Response systems in the Smart Grid, this article illuminates the system characteristics of ULS Green IS and endorses a fundamental shift in design thinking for its design - from “bounded rationality” for problem solving to “expandable rationality” for design for the unknown and for innovation. ECO-ARCH advances existing software architecture analysis methods by complimenting expandable rationality design thinking with proven engineering techniques in a dual-level macroscopic-microscopic analysis. This tackles the unique architecting problems of ULS Green IS where many stakeholders are unknown and design goals are not provided, where no architecture pre-exists, where system behavior is non-deterministic and continuously evolving, and where co-creation with consumers and prosumers is essential to achieving triple bottom line goals.
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