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.
CITATION STYLE
Menouer, T., Cérin, C., & Leclercq, É. (2018). New multi-objectives scheduling strategies in docker SwarmKit. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11336 LNCS, pp. 103–117). Springer Verlag. https://doi.org/10.1007/978-3-030-05057-3_8
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