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This dataset release contains the execution traces and training data correponding to the paper "COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments", by S. Tuli, S. Poojara, S. N. Srirama, G.Casale and N. R. jennings, accepted in IEEE Trasnsactions on Parallel and Distributed Systems (TPDS), 2021. When referring to the dataset please cite the above paper. The code implementation is available at https://github.com/imperial-qore/COSCO.
QoS optimization, container orchestration, coupled simulation, fog computing
QoS optimization, container orchestration, coupled simulation, fog computing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 53 | |
| downloads | 8 |

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Downloads provided by UsageCounts