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Function as a Service(FaaS) has grown in popularity in recent years, with an increasing number of applications being built benefiting from Serverless features. In contrast to traditional cloud offerings that users explicitly provision or configure backend services, Serverless computing enables developers to focus on the code and program in an autoscaling, pay-as-you-go manner, without having to worry about resource management. With the increase in the adoption of FaaS model, research on various aspects of FaaS and Serverless computing is also evolving. These aspects have a wide variety including communication, security, cold start, and cost optimization. Despite its popularity, we still know very little about how Serverless computing is used in practice. With Wonderless, we aim to bridge this gap. Wonderless is a dataset to shed light upon Serverless Computing. The dataset contains 1877 real-world Serverless applications extracted from GitHub, and it can be used as a data source for further research in the Serverless ecosystem, such as performance evaluation and software mining. You can read more about Wonderless here.
serverless, cloud computing, faas, function as a service
serverless, cloud computing, faas, function as a service
| 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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| downloads | 111 |

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