Abstract:Motivated by many interesting real-world applications in logistics and online advertising, we consider an online allocation problem subject to lower and upper resource constraints, where the requests arrive sequentially, sampled i.i.d. from an unknown distribution, and we need to promptly make a decision given limited resources and lower bounds requirements. First, with knowledge of the measure of feasibility, i.e., α, we propose a new algorithm that obtains 1 − O( ǫ α−ǫ )competitive for the offline problems t… Show more
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