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Scheduling under Non-Uniform Job and Machine Delays (2207.13121v2)

Published 26 Jul 2022 in cs.DS

Abstract: We study the problem of scheduling precedence-constrained jobs on heterogenous machines in the presence of non-uniform job and machine communication delays. We are given as input $n$ unit size precedence-ordered jobs and $m$ related machines such that machine $i$ can execute up to $m_i$ jobs at a time. Each machine $i$ has an in-delay $\rho{\mathrm{in}}_i$ and out-delay $\rho{\mathrm{out}}_i$. Likewise, each job $v$ has an in-delay $\rho{\mathrm{in}}_v$ and out-delay $\rho{\mathrm{out}}_v$. In a schedule, job $v$ may be executed on machine $i$ at time $t$ if each predecessor $u$ of $v$ is completed on $i$ before time $t$ or on any machine $j$ before time $t - (\rho{\mathrm{in}}_i + \rho{\mathrm{out}}_j + \rho{\mathrm{out}}_u + \rho{\mathrm{in}}_v)$. The goal is to construct a schedule that minimizes makespan. We consider schedules that allow duplication of jobs as well as schedules which do not. When duplication is allowed, we provide an asymptotic $\mathrm{polylog}(n)$-approximation algorithms both when duplication is allowed and when it is not. We also obtain a true $\mathrm{polylog}(n)$-approximation for symmetric machine and job delays. These are the first polylogarithmic approximation algorithms for scheduling with non-uniform communication delays. We also consider a more general model, where the delay can be an arbitrary function of the job and the machine executing it: job $v$ can be executed on machine $i$ at time $t$ if all of $v$'s predecessors are executed on $i$ by time $t-1$ or on any machine by time $t - \rho_{v,i}$. We present an approximation-preserving reduction from the Unique Machines Precedence-constrained Scheduling (UMPS) problem, first defined in [DKRSTZ22], to this job-machine delay model. The reduction entails logarithmic hardness for this delay setting, as well as polynomial hardness if the conjectured hardness of UMPS holds.

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Authors (3)
  1. Rajmohan Rajaraman (33 papers)
  2. David Stalfa (6 papers)
  3. Sheng Yang (165 papers)

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