Data-driven serverless functions for object storage

Sampé, Josep; Sánchez-Artigas, Marc; Garcı́a-López, Pedro; Parı́s, Gerard

doi:10.1145/3135974.3135980

Cited by 30 publications

(25 citation statements)

References 11 publications

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“…The impact on software architectures has been studied by Adzic and Chatley with AWS Lambda [22] and by Sampé et al with Zion, an environment to execute datadriven functions [36]. These topics, which partially touch on the runtime, receive slightly more attention by fellow researchers, as also evidenced by domain-specific architecture analysis by Crane and Lin [37].…”

Section: Related Workmentioning

confidence: 99%

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

Leitner

Wittern²,

Spillner

et al. 2019

Journal of Systems and Software

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Function-as-a-Service (FaaS) describes cloud computing services that make infrastructure components transparent to application developers, thus falling in the larger group of "serverless" computing models. When using FaaS offerings, such as AWS Lambda, developers provide atomic and short-running code for their functions, and FaaS providers execute and horizontally scale them on-demand. Currently, there is no systematic research on how developers use serverless, what types of applications lend themselves to this model, or what architectural styles and practices FaaS-based applications are based on. We present results from a mixed-method study, combining interviews with practitioners who develop applications and systems that use FaaS, a systematic analysis of grey literature, and a Web-based survey. We find that successfully adopting FaaS requires a different mental model, where systems are primarily constructed by composing pre-existing services, with FaaS often acting as the "glue" that brings these services together. Tooling availability and maturity, especially related to testing and deployment, remains a major difficulty. Further, we find that current FaaS systems lack systematic support for function reuse, and abstractions and programming models for building non-trivial FaaS applications are limited. We conclude with a discussion of implications for FaaS providers, software developers, and researchers.

show abstract

Section: Related Workmentioning

confidence: 99%

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

Leitner

Wittern²,

Spillner

et al. 2019

Journal of Systems and Software

View full text Add to dashboard Cite

show abstract

“…The impact on software architectures has been studied by Adzic and Chatley with AWS Lambda [19] and by Sampé et al with Zion, an environment to execute datadriven functions [30]. These topics, which partially touch on the runtime, receive slightly more attention by fellow researchers, as also evidenced by domain-specific architecture analysis by Crane and Lin [31].…”

Section: Related Workmentioning

confidence: 99%

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

Leitner

Wittern

Spillner

et al. 2018

Preprint

View full text Add to dashboard Cite

Function-as-a-Service (FaaS) describes cloud computing services that make infrastructure components transparent to application developers, thus falling in the larger group of "serverless" computing models. When using FaaS offerings, such as AWS Lambda, developers provide atomic and short-running code for their functions, and FaaS providers execute and horizontally scale them on-demand. Currently, there is no systematic research on how developers use serverless, what types of applications lend themselves to this model, or what architectural styles and practices FaaS-based applications are based on. We present results from a mixed-method study, combining interviews with advanced practitioners, a systematic analysis of grey literature, and a Web-based survey. We find that successfully adopting FaaS requires a different mental model, where systems are primarily constructed by composing pre-existing services, with FaaS often acting as the "glue" that brings these services together. Tooling availability and maturity, especially related to testing and deployment, remains a major difficulty. Further, we find that current FaaS systems lack systematic support for function reuse, and abstractions and programming models for building non-trivial FaaS applications are limited. We conclude with a discussion of implications for FaaS providers, software developers, and researchers.

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“…Yan et al [40] present a chatbot prototype using serverless platform, which is based on some function sequences, to coordinate with the cognitive services in the Watson Developer cloud so that the chatbot can interact with the outside services. Sampe et al [41] propose a data-driven middleware for object storage using serverless computing. The proposed functions in [41] capture and operate over objects, as they are read or write to an object store.…”

Section: State-of-the-art Approachesmentioning

confidence: 99%

“…Sampe et al [41] propose a data-driven middleware for object storage using serverless computing. The proposed functions in [41] capture and operate over objects, as they are read or write to an object store. Furthermore, they use OpenStack Swift to implement a prototype of their serverless framework which stores a huge volume of data through RESTful API.…”

Section: State-of-the-art Approachesmentioning

confidence: 99%

A model-driven framework for data-driven applications in serverless cloud computing

et al. 2020

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In a serverless cloud computing environment, the cloud provider dynamically manages the allocation of resources whereas the developers purely focus on their applications. The datadriven applications in serverless cloud computing mainly address the web as well as other distributed scenarios, and therefore, it is essential to offer a consistent user experience across different connection types. In order to address the issues of data-driven application in a real-time distributed environment, the use of GraphQL (Graph Query Language) is getting more and more popularity in state-of-the-art cloud computing approaches. However, the existing solutions target the low level implementation of GraphQL, for the development of a complex data-driven application, which may lead to several errors and involve a significant amount of development efforts due to various users' requirements in real-time. Therefore, it is critical to simplify the development process of data-driven applications in a serverless cloud computing environment. Consequently, this research introduces UMLPDA (Unified Modeling Language Profile for Data-driven Applications), which adopts the concepts of UML-based Model-driven Architectures to model the frontend as well as the backend requirements for data-driven applications developed at a higher abstraction level. Particularly, a modeling approach is proposed to resolve the development complexities such as data communication and synchronization. Subsequently, a complete open source transformation engine is developed using a Model-to-Text approach to automatically generate the frontend as well as backend low level implementations of Angular2 and GraphQL respectively. The validation of proposed work is performed with three different case studies, deployed on Amazon Web Services platform. The results show that the proposed framework enables to develop the data-driven applications with simplicity.

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Data-driven serverless functions for object storage

Cited by 30 publications

References 11 publications

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

A model-driven framework for data-driven applications in serverless cloud computing

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