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system requires effective orchestration that can schedule the application on these systems. While traditional scheduling algorithms exist, these do not focus on the energy footprint of applications
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freedom and provide significant potential for increasing the efficiency in today’s train schedules. While this certainly provides a great deal of freedom and potential for improvements, utilizing
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13.01.2020, Wissenschaftliches Personal PhD position at the Chair of Algorithms and Complexity. Candidate shall work on approximation algorithms for scheduling problems in parallel and distributed
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