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Multiprocessor System-on-Chip platforms are typically used for co-hosting multiple tasks, which may start and stop execution independently at time instants unknown at design time. In such systems, the runtime resource manager is responsible for allocating adequate and appropriate resources to each task. We identify a key issue in existing work that the resource management algorithms consider the problem only at task-level, i.e. the optimization is performed for each individual task upondoi:10.1109/dasip.2010.5706243 dblp:conf/dasip/HuangRBK10 fatcat:aif6xlnrurbv5e7oivdczeojea