A parameterized complexity view on non-preemptively scheduling interval-constrained jobs: few machines, small looseness, and small slack

We study the problem of non-preemptively scheduling $n$ jobs, each job $j$ with a release time $t_j$, a deadline $d_j$, and a processing time $p_j$, on $m$ parallel identical machines. Cieliebak et al. (2004) considered the two constraints $|d_j-t_j|\leq λp_j$ and $|d_j-t_j|\leq p_j +σ$ and showed the problem to be NP-hard for any $λ>1$ and for any $σ\geq 2$. We complement their results by parameterized complexity studies: we show that, for any $λ>1$, the problem remains weakly NP-hard even for $m=2$ and strongly W[1]-hard parameterized by $m$. We present a pseudo-polynomial-time algorithm for constant $m$ and $λ$ and a fixed-parameter tractability result for the parameter $m$ combined with $σ$.