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Journal of Combinatorial Optimization

, Volume 36, Issue 4, pp 1356–1379 | Cite as

Scheduling with interjob communication on parallel processors

  • Jürgen König
  • Alexander Mäcker
  • Friedhelm Meyer auf der Heide
  • Sören Riechers
Article
  • 45 Downloads

Abstract

Consider a scheduling problem in which a set of tasks needs to be scheduled on m parallel processors. Each task \(T_i\) consists of a set of jobs with interjob communication demands, represented by a weighted, undirected graph \(G_i\). The processors are assumed to be interconnected by a shared communication channel, which can be used by jobs to communicate among each other while being processed in parallel. In each time step, the scheduler assigns jobs to the processors and allows any processed job to use a certain capacity of the channel in order to satisfy (parts of) its communication demands to adjacent jobs processed in the same step. The goal is to find a schedule with minimum length in which the communication demands of all jobs are satisfied. We show that this problem is NP-hard in the strong sense even if the number of processors is constant and the underlying graph is a single path or a forest with arbitrary constant maximum degree. Consequently, we design and analyze approximation algorithms with asymptotic approximation ratio \(\min \{1.8, 1.5 \frac{m}{m-1}\}+1\) if the underlying graph G, the union of the \(G_i\), is a forest. For general graphs it is \(\min \left\{ 1.8, \frac{1.5m}{m-1}\right\} \cdot \left( \text {arb}(G) + \frac{5}{3}\right) \), where \(\text {arb}(G)\) denotes the arboricity of G.

Keywords

Scheduling NP hardness Approximation algorithms Shared resource Bin packing 

Notes

Acknowledgements

Funding was provided by Deutsche Forschungsgemeinschaft (Grant No. CRC 901).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jürgen König
    • 1
  • Alexander Mäcker
    • 2
  • Friedhelm Meyer auf der Heide
    • 2
  • Sören Riechers
    • 2
  1. 1.Paderborn UniversityPaderbornGermany
  2. 2.Paderborn UniversityPaderbornGermany

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