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This dataset is representative of the sample used in the Serverless in the Wild paper [1] experiments. The dataset is used to reproduce the experiments in the OpenDC Serverless FaaS simulator [2]. The original dataset [3] has been sampled converted into the OpenDC Serverless trace format. This is part of Soufiane Jounaid's Bachelor thesis on designing, evaluating, and implementing the first FaaS platform simulator conducted within the AtLarge Research group in the Vrije Universiteit Amsterdam. [1] Shahrad, M., Fonseca, R., Goiri, Í., Chaudhry, G., Batum, P., Cooke, J., ... & Bianchini, R. (2020). Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider. arXiv preprint arXiv:2003.03423. [2] https://drive.google.com/file/d/12hox3PwagpD0jNFA57tO4r2HqvOonkY3/view?usp=sharing [3] https://github.com/Azure/AzurePublicDataset/blob/master/AzureFunctionsDataset2019.md
FaaS, Serverless, Open source, Cloud
FaaS, Serverless, Open source, Cloud
| 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 |
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