可持续发展的软件产品——迈向资源和能源效率的评估标准

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Eva Kern , Lorenz M. Hilty , Achim Guldner , Yuliyan V. Maksimov , Andreas Filler , Jens Gröger , Stefan Naumann
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引用次数: 67

摘要

许多作者提出了评估软件产品的“环境友好”或“可持续性”的标准。然而,将软件产品的可观察属性与它的绿色或(更一般的)可持续性条件联系起来的因果模型仍然缺失。这样的因果模型是必要的,因为软件产品是无形的商品,因此,对物理世界只有间接的影响。特别是,软件产品不会受到任何磨损,它们可以不费很大力气地复制,并且在处理时不会产生废物或排放物。单独来看,软件似乎是一种完全可持续的产品。然而,在现实生活中,具有相同或类似功能的软件产品对自然资源的负担可能会有很大的不同,特别是如果考虑到发布版本的顺序和由此导致的硬件过时。在本文中,我们提出了一个模型,从生命周期的角度描述了从软件产品到它们对自然资源(包括能源)的影响的因果链。我们关注(i)软件对硬件容量(本地、远程和连接网络)的需求以及由此产生的硬件能源需求,(ii)用户对此类需求的期望以及这些需求如何影响硬件运行寿命,以及(iii)用户在管理其软件使用方面的自主权。我们提出了一套分级标准和指标来评估这些影响。我们演示了这组标准的应用,包括所选软件产品类别的标准使用场景的定义。我们进一步讨论了这种评估的实用性,它对几个利益相关者的可接受性,以及对软件产品生态标签和可持续软件设计的潜在后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable software products—Towards assessment criteria for resource and energy efficiency

Many authors have proposed criteria to assess the “environmental friendliness” or “sustainability” of software products. However, a causal model that links observable properties of a software product to conditions of it being green or (more general) sustainable is still missing. Such a causal model is necessary because software products are intangible goods and, as such, only have indirect effects on the physical world. In particular, software products are not subject to any wear and tear, they can be copied without great effort, and generate no waste or emissions when being disposed of. Viewed in isolation, software seems to be a perfectly sustainable type of product. In real life, however, software products with the same or similar functionality can differ substantially in the burden they place on natural resources, especially if the sequence of released versions and resulting hardware obsolescence is taken into account. In this article, we present a model describing the causal chains from software products to their impacts on natural resources, including energy sources, from a life-cycle perspective. We focus on (i) the demands of software for hardware capacities (local, remote, and in the connecting network) and the resulting hardware energy demand, (ii) the expectations of users regarding such demands and how these affect hardware operating life, and (iii) the autonomy of users in managing their software use with regard to resource efficiency. We propose a hierarchical set of criteria and indicators to assess these impacts. We demonstrate the application of this set of criteria, including the definition of standard usage scenarios for chosen categories of software products. We further discuss the practicability of this type of assessment, its acceptability for several stakeholders and potential consequences for the eco-labeling of software products and sustainable software design.

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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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