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Sustainability is becoming an increasingly important topic. Information Technology (IT) is an important factor for sustainability; it consumes a substantial, and growing, part of the world supply of energy, but it can also enable significant insights and improvements related to sustainability. These factors need to be taken into account in the design of IT systems, meaning that we need to architect for sustainability. This paper provides insights into the experience and beliefs of IT practitioners and researchers into current and desired practices of architecting for sustainability. It reports on the results of three workshop sessions with practitioners and researchers, providing insight into the state of research and practice.

Estimations of today���s energy consumption of information and communication technologies (ICT) range from 2 to 9 % of the total produced energy and forecasts for the year 2030 predict an increase up to 21 %. Even though these numbers are controversial, it cannot be denied that the consumption growth of large impact factors, like data centers, networks, consumer devices, and the production of ICT needs to be reduced. In addition to Green IT, which is primarily focused on hardware, software is increasingly seen as an energy consumer with considerable savings potential. In this paper, we take a look at software for artificial intelligence (AI) and especially machine learning (ML). We describe a method for in-depth measurement and analyses of the energy consumption and hardware usage of ML algorithms and a series of experiments where we use the method on convolutional neural networks (CNN). We also compare existing estimation methods with our own. As outlook, we propose a holistic approach along the AI life cycle and additional experiments and assessments that could show potential efficiency improvements and consumption savings in AI.

Der Workshop „Umwelinformatik zwischen Nachhaltigkeit und Wandel“ schlčgt auchin seinem bereits achten Durchlauf die Brücke zwischen Informatik, Umwelt- und Nachhaltigkeitswissenschaften und prčsentiert interdisziplinčre wissenschaftliche Lösungen aus der Schnittstelle zwischen Digitalisierung und Nachhaltiger Entwicklung.

In den vergangenen Jahren konnte die Umweltforschung eine zunehmend datengesteuerte Perspektive einnehmen, weil immer leistungsf��higere In-situ-Sensorik mit telemetrischer Datenu��bertragung, riesige Sensornetze, satelliten- und drohnengestu��tzte Erdbeobachtung und ein fast allgegenw��rtiger Internetzugang technisch ganz neue M��glichkeiten er��ffnen. Von einigen dieser datengestu��tzten Ans��tze wird erwartet, dass sie Visionen einer nachhaltigen Zukunft deutlich unterstu��tzen k��nnen. Zum Beispiel, indem sie es erm��glichen, in nachhaltigen intelligenten St��dten besser zu leben, die Menschheit mit intelligenterer Landwirtschaft besser zu ern��hren, die Umweltverschmutzung oder weltweite Rodung von W��ldern mit besserer Erdbeobachtung zu bek��mpfen, oder durch intelligente Steuerung von Prozessen und Vernetzung von Akteuren wichtige Menschheitsfragen wie die Umsetzung der Energiewende, die Realisierung der Kreislaufwirtschaft oder die Bek��mpfung und den Umgang mit dem Klimawandel zu unterstu��tzen. Im Workshop KIU werden in diesem gro��en Themenkomplex neue innovative Ideen vorgestellt, offene Forschungsfragen und L��sungsans��tze diskutiert und Anwendungsbeispiele aus den Schnittfeldern von KI und Umweltanwendungen pr��sentiert.

Der Workshop „Umwelinformatik zwischen Nachhaltigkeit und Wandel“ schlägt auch in seinem bereits achten Durchlauf die Brücke zwischen Informatik, Umwelt-und Nachhaltigkeitswissenschaften und präsentiert interdisziplinäre wissenschaftliche Lösungen aus der Schnittstelle zwischen Digitalisierung und Nachhaltiger Entwicklung.

While counteracting the increasing demand for natural resources and especially energy of ICT, first successes have become apparent by activities comprised by the term “Green IT”. Nowadays, many of the current activities lay emphasis on the hardware side of Green IT. However, software issues play a significant role in defining system and hardware requirements as well as the amount of energy consumed by ICT devices and the underlying infrastructure. Thus, the following chapter introduces the idea of green software and its engineering. Complementary to definitions and models in the addressed field, a more practical insight is given by illustrating exemplary energy measurements of software products. While these aspects show that the research is increasingly dealing with software issues of Green IT, these mainly scientific ideas have hardly reached practical relevance, so far. Hence, following the life cycle perspective of software products, we present two exemplary concepts on how to increase awareness of green software: addressing especially software engineers, we propose to implement continuous energy efficiency measurements during the development phase. With regards to software users, we propose to create an eco-label for software products to inform about their environmental issues and thus create more transparency in this context. To do so, we present and evaluate criteria and indicators, upon which a label could be based. The chapter concludes with a summary and proposes future activities in the addressed field. Overall, the aim of the chapter is to point out solutions that might lead to a more environmentally friendly way of developing software, a well-informed procurement behavior regarding software products, and a more sustainable user behavior concerning ICT.

Informatik 2018 : Workshop der Informatik : Tagung vom 26.-27. September 2018 in Berlin Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, Berlin, Germany, 26 Sep 2018 - 27 Sep 2018; Bonn : Köllen, GI-Edition : lecture notes in informatics. Proceedings 285, 135-144 (2018)., Published by Köllen, Bonn

Despite business organizations have mainly developed initiatives to reduce energy costs and demonstrate corporate social responsibility, there are yet few approaches that assist the inclusion of green strategies into the software design process. In this paper, we aim to identify which type of green strategies can be successfully included into a service design process. To this aim, in collaboration with a Dutch industry partner, we have conducted an empirical study as part of a course of the Software Engineering and Green IT master program. The study involved 19 teams of master students playing the role of software designers, and who completed the design of a real-life green software project of the smart transportation domain. Analysing deliverables created by the design teams, 66 green strategies were extracted, which were grouped in 16 clusters categorized per type of green problem: people-awareness, service-awareness, and process-awareness strategies. Regarding the capability of green strategies for being reused across any green software project, we found that 10 out of 16 clusters are domain-generic.