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OverviewFull Product DetailsAuthor: Volker Wohlgemuth , Stefan Naumann , Grit Behrens , Hans-Knud ArndtPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2023 Weight: 0.586kg ISBN: 9783031183102ISBN 10: 303118310 Pages: 235 Publication Date: 10 November 2022 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationDr. Volker Wohlgemuth is a full professor for Industrial Environmental Informatics at the School of Engineering – Technology and Life, HTW Berlin, University of Applied Sciences, Germany. His research fields are material flow management, modelling and simulation, industrial symbiosis and environmental management information systems. Dr. Stefan Naumann is a full professor for Computer Science, Mathematics and Environmental/ Sustainability Informatics at the Trier University of Applied Sciences (Environmental Campus Birkenfeld, Germany). His research interests are the environmental impacts of IT, especially of software, and environmental informatics in general. Dr. Grit Behrens is a full professor for Applied Computer Science at the FH Bielefeld – University of Applied Science, Germany. Her research fields are applications in machine learning in the fields of photovoltaic solutions and generally in environmental Informatics. Dr. Hans-Knud Arndt is a full professor of Business Informatics – Management Information Systems at the Otto-von-Guericke-University Magdeburg, Germany. His environmental informatics research focuses on meta data, sustainable reporting, sustainable design of information systems and sustainable usability/user experience. Maximilian Höb is a researcher at the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities and a lecturer at Ludwig-Maximilians-University Munich, Germany. His research focuses on the analysis of containerized high-performance computing applications and their deployment strategies regarding resource usage and energy efficiency, including exascale-ready and data-centric containerized infrastructures. Tab Content 6Author Website:Countries AvailableAll regions |