Dependable workflow management system for smart farms

ABSTRACT

Smart Farming is a new and emerging domain representing the application of modern technologies into agriculture, leading to a revolution of this classic domain. CLUeFARM is a web platform in the domain of smart farming which main purpose is to help farmers to easily manage and supervise their farms from any device connected to the Internet, offering some useful services. Cloud technologies evolved a lot in recent years and based on this growth, microservices are more and more used. If for the server side, the scalability and reusability are solved in high proportion by microservices, on the client side of web applications, there was no independent solution until the recent emergence of web components. They can be seen as the microservices of the front-end. Microservices and web components are usually used isolated one of each other. This paper proposes and presents the functionality and implementation of a dependable workflow management service by using an end-to-end microservices approach.

KEYWORDS:

• Workflow management
• smart farms
• micro-services
• cloud-based applications
• IoT-based applications
• dependability
• system architecture

Acknowledgments

We would like to thank the reviewers for their time and expertise, constructive comments and valuable insight.

Disclosure statement

No potential competing interest was reported by the authors.

Notes

1 https://projects.spring.io/spring-data-neo4j/

2 https://neo4j.com/developer/cypher-query-language/

3 https://neo4j.com

4 https://polymer-library.polymer-project.org

5 https://angular.io

Additional information

Funding

Research funded by Ministry of Education and Research, Romania (PN-III-P4-ID-PCE-2020-2204, PN-III-P2-2.1-SOL-2021-2-0223), by Ministerul Cercetării şi Inovării (SMIS code 2014+ 124812) by Universitatea Politehnica din Bucureşti (PubArt program). Research funded by Ministry of Education and Research, Romania (PN-III-P4-ID-PCE-2020-2204, PN-III-P2-2.1-SOL-2021-2-0223), by Ministerul Cercetării şi Inovării (SMIS code 2014+ 124812) by Universitatea Politehnica din București (PubArt program). The research presented in this paper was supported by the project FARGO: Federated leARninG for human moBility (PN-III-P4-ID-PCE-2020-2204), the project CloudPrecis (Ministerul Cercetării şi Inovării) (SMIS code 2014+ 124812), the project ODIN112 (PN-III-P2-2.1-SOL-2021-2-0223) and by the University Politehnica of Bucharest through the PubArt program.