BanditWare uses a decaying epsilon-greedy contextual bandit with linear runtime models to recommend hardware for scientific workflows, learning online with far fewer samples than offline ML approaches.
Cloud computing virtualization of resources allocation for distributed systems,
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BanditWare: A Contextual Bandit-based Framework for Hardware Prediction
BanditWare uses a decaying epsilon-greedy contextual bandit with linear runtime models to recommend hardware for scientific workflows, learning online with far fewer samples than offline ML approaches.