Preemptive and non-preemptive generalized min sum set cover

Sungjin Im, Maxim Sviridenko, Ruben van der Zwaan

Abstract: In the (non-preemptive) Generalized Min Sum Set Cover Problem, we are given $$n$$ ground elements and a collection of sets $$\mathcal{S }= \{S_1, S_2, \ldots , S_m\}$$ where each set $$S_i \in 2^{[n]}$$ has a positive requirement $$\kappa (S_i)$$ that has to be fulfilled. We would like to order all elements to minimize the total (weighted) cover time of all sets. The cover time of a set $$S_i$$ is defined as the first index $$j$$ in the ordering such that the first $$j$$ elements in the ordering contain $$\kappa (S_i)$$ elements in $$S_i$$ . This problem was introduced by Azar et al. (2009) with interesting motivations in web page ranking and broadcast scheduling. For this problem, constant approximations are known by Bansal et al. (2010) and Skutella and Williamson (Oper Res Lett 39(6):433–436, 2011). We study the version where preemption is allowed. The difference is that elements can be fractionally scheduled and a set $$S$$ is covered in the moment when $$\kappa (S)$$ amount of elements in $$S$$ are scheduled. We give a 2-approximation for this preemptive problem. Our linear programming relaxation and analysis are completely different from the aforementioned previous works. We also show that any preemptive solution can be transformed into a non-preemptive one by losing a factor of 6.2 in the objective function. As a byproduct, we obtain an improved $$12.4$$ -approximation for the non-preemptive problem.