A (1+epsilon)Approximation for Makespan Scheduling with Precedence Constraints using LP Hierarchies
Abstract
In a classical problem in scheduling, one has $n$ unit size jobs with a precedence order and the goal is to find a schedule of those jobs on $m$ identical machines as to minimize the makespan. It is one of the remaining four open problems from the book of Garey & Johnson whether or not this problem is $\mathbf{NP}$hard for $m=3$. We prove that for any fixed $\varepsilon$ and $m$, an LPhierarchy lift of the timeindexed LP with a slightly super polylogarithmic number of $r = (\log(n))^{\Theta(\log \log n)}$ rounds provides a $(1 + \varepsilon)$approximation. For example SheraliAdams suffices as hierarchy. This implies an algorithm that yields a $(1+\varepsilon)$approximation in time $n^{O(r)}$. The previously best approximation algorithms guarantee a $2  \frac{7}{3m+1}$approximation in polynomial time for $m \geq 4$ and $\frac{4}{3}$ for $m=3$. Our algorithm is based on a recursive scheduling approach where in each step we reduce the correlation in form of long chains. Our method adds to the rather short list of examples where hierarchies are actually useful to obtain better approximation algorithms.
 Publication:

arXiv eprints
 Pub Date:
 September 2015
 arXiv:
 arXiv:1509.07808
 Bibcode:
 2015arXiv150907808L
 Keywords:

 Computer Science  Data Structures and Algorithms;
 Computer Science  Discrete Mathematics