{'fraction_non_alphanumeric': 0.022535211267605635, 'fraction_numerical': 0.0018779342723004694, 'mean_word_length': 5.5, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Proactive Workload Management for Bare Metal Deployment on Microservers

This paper introduces a concept for an energy-aware workload management (WM) for heterogeneous microserver environments. Its main focus is on highly dynamic service-driven workloads often coupled to user requests requiring fast response times. The WM is developed in scope of the M2DC (Modular Microserver Data Center) project, in which a new server generation of composable microservers is designed. Targeting an easy industrial applicability, the underlying middleware is based on a turnkey OpenStack platform. As part of that middleware, the WM makes use of workload/utilization and power data as well as corresponding (prediction) models to deploy applications on the most suitable microservers and temporarily shut down unused capacities, either proactively or reactively (in case of deviations from forecasts). The WM has been implemented and simulated within a virtual environment. However, the integration, refinement and evaluation on the new M2DC hardware is still work in progress.