A systematic literature review on Energy Efficiency in Cloud Software Architectures

Cloud-based software architectures introduce more complexity and require new competences for migration, maintenance, and evolution. Although cloud computing is often considered as an energy-efficient technology, the implications of cloud-based software on energy efficiency lack scientific evidence. At the same time, energy efficiency is becoming a crucial requirement for cloud service provisioning, as energy costs significantly contribute to the Total Cost of Ownership (TCO) of a data center. In this paper, we present the results of a systematic literature review that investigates cloud software architectures addressing energy efficiency as a primary concern. The aim is to provide an analysis of the state-of-the-art in the field of energy-efficient software architectures

Creative User-Centered Visualization Design for Energy Analysts and Modelers

We enhance a user-centered design process with techniques that deliberately promote creativity to identify opportunities for the visualization of data generated by a major energy supplier. Visualization prototypes developed in this way prove effective in a situation whereby data sets are largely unknown and requirements open – enabling successful exploration of possibilities for visualization in Smart Home data analysis. The process gives rise to novel designs and design metaphors including data sculpting. It suggests: that the deliberate use of creativity techniques with data stakeholders is likely to contribute to successful, novel and effective solutions; that being explicit about creativity may contribute to designers developing creative solutions; that using creativity techniques early in the design process may result in a creative approach persisting throughout the process. The work constitutes the first systematic visualization design for a data rich source that will be increasingly important to energy suppliers and consumers as Smart Meter technology is widely deployed. It is novel in explicitly employing creativity techniques at the requirements stage of visualization design and development, paving the way for further use and study of creativity methods in visualization design

Parameterized Algorithmics for Computational Social Choice: Nine Research Challenges

Computational Social Choice is an interdisciplinary research area involving Economics, Political Science, and Social Science on the one side, and Mathematics and Computer Science (including Artificial Intelligence and Multiagent Systems) on the other side. Typical computational problems studied in this field include the vulnerability of voting procedures against attacks, or preference aggregation in multi-agent systems. Parameterized Algorithmics is a subfield of Theoretical Computer Science seeking to exploit meaningful problem-specific parameters in order to identify tractable special cases of in general computationally hard problems. In this paper, we propose nine of our favorite research challenges concerning the parameterized complexity of problems appearing in this context

Ansätze zur kollaborativen Softwareerstellung

Die Erstellung von Software zur Unterstützung betrieblicher Abläufe wird in zunehmendem Maße komplexer. Da der Erstellungsprozess in der Softwareindustrie traditionell einer Werkstatt- bzw. Einzelfertigung entspricht, erfordert die stetig steigende Nachfrage nach betrieblicher Software und die fortschreitende Globalisierung die rationellere Gestaltung der Softwareentwicklung. In der Literatur werden daher immer häufiger die Industrialisierung der Softwareerstellung und neuartige Formen der Spezialisierung, Arbeitsteilung und Zusammenarbeit (engl. Collaboration) vorgestellt. Dabei kann im Wesentlichen unterschieden werden, ob die Zusammenarbeit einzelner Akteure und Arbeitsgruppen auf Projektebene oder die strategische Zusammenarbeit von Unternehmen innerhalb der Softwareindustrie behandelt wird. Über diese beiden grundlegenden Betrachtungsebenen hinweg lassen sich existierende Ansätze zur arbeitsteiligen Softwareerstellung entlang mehrerer Dimensionen, wie räumliche, zeitliche und organisatorische Verteilung der Aktivitäten im Prozess sowie Intensität und Richtung der Zusammenarbeitsbeziehungen klassifizieren. Ziel dieses Artikels ist es, einen umfassenden und systematischen Überblick über bestehende Ansätze zur kollaborativen Softwareerstellung zu geben, indem diese in einen generischen Klassifikationsrahmen eingeordnet werden. Des Weiteren soll eine etymologische und pragmatische Herleitung des Kollaborationsbegriffs die Etablierung eines eigenständigen Forschungsparadigmas im Rahmen der Wirtschaftsinformatik ermöglichen