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

In a serverless cloud computing environment, the cloud provider dynamically manages the allocation of resources whereas the developers purely focus on their applications. The data-driven applications in serverless cloud computing mainly address the web as well as other distributed scenarios, and the...

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Bibliographic Details
Published in:PloS one 2020-08, Vol.15 (8), p.e0237317-e0237317
Main Authors: Samea, Fatima, Azam, Farooque, Rashid, Muhammad, Anwar, Muhammad Waseem, Haider Butt, Wasi, Muzaffar, Abdul Wahab
Format: Article
Language:English
Subjects:
Application programming interface
Behavior
Biology and Life Sciences
Cloud computing
Computer and Information Sciences
Data communication
Engineering and Technology
Internet
Language
Low level
Methods
Open source software
Query languages
Real time
Resource allocation
Science Policy
Social Sciences
Software engineering
Software upgrading
Statelessness
Synchronism
Synchronization
User interface
User requirements
Web services
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Summary:In a serverless cloud computing environment, the cloud provider dynamically manages the allocation of resources whereas the developers purely focus on their applications. The data-driven 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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0237317