Towards Tight Lower Bounds for Scheduling Problems
Abbas Bazzi, Ashkan Norouzi-Fard

TL;DR
This paper establishes tight inapproximability bounds for various scheduling problems with precedence constraints by connecting them to structural hardness in $k$-partite graphs, assuming a generalized hardness hypothesis.
Contribution
It introduces a novel connection between $k$-partite graph hardness and scheduling inapproximability, achieving tight bounds and resolving open questions.
Findings
Hardness of $2-$ for makespan minimization on precedence-constrained jobs.
Super constant inapproximability for scheduling on related parallel machines.
Unification of inapproximability results for multiple scheduling problems.
Abstract
We show a close connection between structural hardness for -partite graphs and tight inapproximability results for scheduling problems with precedence constraints. Assuming a natural but nontrivial generalisation of the bipartite structural hardness result of Bansal and Khot, we obtain a hardness of for the problem of minimising the makespan for scheduling precedence-constrained jobs with preemption on identical parallel machines. This matches the best approximation guarantee for this problem. Assuming the same hypothesis, we also obtain a super constant inapproximability result for the problem of scheduling precedence-constrained jobs on related parallel machines, making progress towards settling an open question in both lists of ten open questions by Williamson and Shmoys, and by Schuurman and Woeginger. The study of structural hardness of -partite graphs is of…
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Taxonomy
TopicsScheduling and Optimization Algorithms · Optimization and Search Problems · Complexity and Algorithms in Graphs
