Patterns for Serverless Functions (Function-as-a-Service): A Multivocal Literature Review

Serverless computing has gained importance over the last decade as an exciting new field, owing to its large influence in reducing costs, decreasing latency, improving scalability, and eliminating server-side management, to name a few. However, to date there is a lack of in-depth survey that would help developers and researchers better understand the significance of serverless computing in different contexts. Thus, it is essential to present research evidence that has been published in this area. In this systematic survey, 275 research papers that examined serverless computing from well-known literature databases were extensively reviewed to extract useful data. Then, the obtained data were analyzed to answer several research questions regarding state-of-the-art contributions of serverless computing, its concepts, its platforms, its usage, etc. We moreover discuss the challenges that serverless computing faces nowadays and how future research could enable its implementation and usage.

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“…The authors in [26] covered only 24 research papers during 2017-2019. In their paper, they considered both the white and grey literatures.…”

Section: Related Workmentioning

confidence: 99%

Survey on serverless computing

2021

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“…This problem is addressed by testing services that use external containers that host different test designs and implementations. Several patterns were defined for serverlessbased applications [8]. However, specific patterns for testing are not defined by practitioners yet.…”

Section: Ieee Softwarementioning

confidence: 99%

Serverless Testing: Tool Vendors' and Experts' Points of View

Lenarduzzi

Panichella

2021

IEEE Softw.

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Serverless architecture is an emerging design style for cloud-based software systems. Testing serverless applications plays an important role in software quality assurance. However, currently, there is no consensus on how to test and debug such systems properly. Moreover, the current lack of mature tooling is a central challenge. We designed and conducted three interviews among two tools vendor leaders in the serverless domain (Epsagon and Thundra) and one expert in the field (Yan Cui), investigating the good and bad practices and several open issues. The current status of testing and debugging in serverless-based applications depicted by the experts helped us to highlight issues and challenges that need to be deeply investigated.

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“…Kritikos et al review several serverless framework and report on challenges faced when designing and implementing an application leveraging serverless technology [40]. They report on the need for new methods for creating an architecture for applications that contain both serverless components like functions as well as "classic" components such as microservices running inside a Docker Container [71]. They also note that the decision on how the application components should scale is largely left to the developer and suggest further research into automating this process.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Container Orchestration for Self-adaptive Edge Architectures

Gand

Fronza

Ioini

et al. 2021

Communications in Computer and Information Science

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The edge or edge computing refers to the computational infrastructure between sensors and Internet-of-Things world on the one side and centralised cloud data centres on the other. Edge clusters could consist of small single-board devices, which are widely used in different applications. This includes microcontrollers regulating an industrial process or controllers monitoring and managing traffic roadside. Although generally hardware capabilities of devices are growing, resources at the edge are often still limited, requiring an intelligent resource management. This can done through self-adaptive scaling mechanisms in these clusters allowing to scale components of the application in the cluster. We introduce here an auto-scalable cluster architecture for lightweight container-based edge devices. A serverless architecture forms the core of this architecture. The auto-scaling component is based on fuzzy logic in order to better manage uncertainty problems arising in such contexts. Our evaluations show that our platform architecture and the auto-scaling functionality satisfy the need of lightweightness in edge architecture.

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Patterns for Serverless Functions (Function-as-a-Service): A Multivocal Literature Review

Cited by 45 publications

References 5 publications

Survey on serverless computing

Survey on serverless computing

Serverless Testing: Tool Vendors' and Experts' Points of View

Fuzzy Container Orchestration for Self-adaptive Edge Architectures

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