New Multi-objectives Scheduling Strategies in Docker SwarmKit

  • Tarek Menouer
  • Christophe CérinEmail author
  • Étienne Leclercq
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11336)


This paper presents new multi-objectives scheduling strategies implemented in Docker SwarmKit. Docker SwarmKit is a container toolkit for orchestrating distributed systems at any scale. Currently, Docker SwarmKit has one scheduling strategy called Spread. Spread is based only on one objective to select from a set of cloud nodes, one node to execute a container. However, the containers submitted by users to be scheduled in Docker SwarmKit are configured according to multi-objectives criteria, as the number of CPUs and the memory size. To better address the multi-objectives configuration problem of containers, we introduce the concept and the implementation of new multi-objectives scheduling strategies adapted for Cloud Computing environments and implemented in Docker SwarmKit. The principle of our multi-objectives strategies consist to select a node which has a good compromise between multi-objectives criteria to execute a container. The proposed scheduling strategies are based on a combinaison of PROMETHEE and Kung multi-objectives decision algorithms in order to place containers. The implementation in Docker SwarmKit and experiments of our new strategies demonstrate the potential of our approach under different scenarios.


Systems software Scheduling and resource management Container technology Cloud computing Application of parallel and distributed algorithms 



This work is funded by the French Fonds Unique Ministériel (FUI) Wolphin Project. We thank Grid5000 team for their help to use the testbed.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Tarek Menouer
    • 1
  • Christophe Cérin
    • 1
    Email author
  • Étienne Leclercq
    • 1
  1. 1.University of Paris 13, Sorbonne Paris Cité, LIPN/CNRS UMR 7030VilletaneuseFrance

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