AI RESEARCH

Scheduling in Queueing Systems with Uncertain and Evolving Holding Costs

arXiv CS.LG

ArXi:2505.21331v2 Announce Type: replace-cross In content moderation for social media platforms, the cost of delaying the review of a content is proportional to its view trajectory, which fluctuates and is apriori unknown. Motivated by such uncertain and evolving holding costs, we consider a queueing model where job states evolve based on a Marko chain with state-dependent instantaneous holding costs.