Railway Cloud Resource Management as a Service

Ivaylo Atanasov, Dragomira Dimitrova, Evelina Pencheva () and Ventsislav Trifonov
Additional contact information
Ivaylo Atanasov: Faculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria
Dragomira Dimitrova: Faculty of Telecommunications and Electrical Equipment in Transport, Todor Kableshkov University of Transport, 1574 Sofia, Bulgaria
Evelina Pencheva: Faculty of Telecommunications and Electrical Equipment in Transport, Todor Kableshkov University of Transport, 1574 Sofia, Bulgaria
Ventsislav Trifonov: Faculty of Telecommunications and Electrical Equipment in Transport, Todor Kableshkov University of Transport, 1574 Sofia, Bulgaria

Future Internet, 2025, vol. 17, issue 5, 1-30

Abstract: Cloud computing has the potential to accelerate the digital journey of railways. Railway systems are big and complex, involving a lot of parts, like trains, tracks, signaling systems, and control systems, among others. The application of cloud computing technologies in the railway industry has the potential to enhance operational efficiency, data management, and overall system performance. Cloud management is essential for complex systems, and the automation of management services can speed up the provisioning, deployment, and maintenance of cloud infrastructure and applications by enabling visibility across the environment. It can provide consistent and unified management over resource allocation, streamline security processes, and automate the monitoring of key performance indicators. Key railway cloud management challenges include the lack of open interfaces and standardization, which are related to the vendor lock-in problem. In this paper, we propose an approach to design the railway cloud resource management as a service. Based on typical use cases, the requirements to fault and performance management of the railway cloud resources are identified. The main functionality is designed as RESTful services. The approach feasibility is proved by formal verification of the cloud resource management models supported by cloud management application and services. The proposed approach is open, in contrast to any proprietary solutions and feature scalability and interoperability.

Keywords: railways; cloud computing; cloud management; service-based architecture; RESTful services; state models; formal verification (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/17/5/192/pdf (application/pdf)
https://www.mdpi.com/1999-5903/17/5/192/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:17:y:2025:i:5:p:192-:d:1641518

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().