25 April 2021, by Janick Edinger
Photo: Amy Murphy
The publication "Voltaire: Precise Energy-Aware Code Offloading Decisions with Machine Learning" by Martin Breitbach (University of Mannheim), Janick Edinger (University of Hamburg), Siim Kaupmees (University of Cambrigde), Heiko Trötsch (University of Mannheim), Christian Krupitzer (University of Hohenheim) and Christian Becker (University of Mannheim) was awarded the Mark Weiser Best Paper Award at the IEEE International Conference on Pervasive Computing and Communications (PerCom) (CORE Rating: A+). In the paper, the authors use methods such as machine learning and crowdsourcing to predict the complexity and required data transfer of computationally intensive tasks to make ad-hoc energy-efficient outsourcing decisions. The International Conference on Pervasive Computing and Communications is the premier conference for presenting scientific research in pervasive computing and pervasive communications.