
Research collaboration on Adaptive Resource Management for data-intensive systems between @TUBerlin and @UofGlasgow, co-led by @Odej7 and @lauritzthamsen
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ALT Overview of our three papers: Sizey: Memory-Efficient Execution of Scientific Workflow Tasks – IEEE Cluster 2024 research paper Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows – IEEE eScience 2024 research paper KS+: Predicting Workflow Task Memory Usage Over Time – ReWorDS 24 workshop paper

ALT A screenshot of our workshop website, https://locos.codeberg.page/loco2024/, including: 1st International Workshop on Low Carbon Computing 3 December 2024 – hybrid event hosted in Glasgow, Scotland, United Kingdom The 1st International Workshop on Low Carbon Computing (LOCO 2024) will bring together researchers and practitioners with a keen interest in low carbon and sustainable computing. The workshop will provide a forum for sharing new ideas, for presenting ongoing work and early results, as well as for bringing forward well-founded criticism. The main focus of the workshop is on the reduction of greenhouse gas emissions from computing. However, computing science research and practice that helps to reduce other emissions or to mitigate the effects of climate change in another way is also in scope. Extended abstracts and workshop presentations: - extended abstract submission: 24 Sep 2024 - notification of acceptance: 5 Nov 2024 - workshop day: 3 Dec 2024

ALT Image = Collage. Background Image: Damiano Lingauri / Unsplash. Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.



















