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  4. Automated generation of deployment descriptors for managing microservices-based applications in the cloud to edge continuum
 
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2025
Journal Article
Title

Automated generation of deployment descriptors for managing microservices-based applications in the cloud to edge continuum

Abstract
With the emergence of Internet of Things (IoT) devices collecting large amounts of data at the edges of the network, a new generation of hyper-distributed applications is emerging, spanning cloud, fog, and edge computing resources. The automated deployment and management of such applications requires orchestration tools that take a deployment descriptor (e.g. Kubernetes manifest, Helm chart or TOSCA) as input, and deploy and manage the execution of applications at run-time. While most deployment descriptors are prepared by a single person or organisation at one specific time, there are notable scenarios where such descriptors need to be created collaboratively by different roles or organisations, and at different times of the application’s life cycle. An example of this scenario is the modular development of digital twins, composed of the basic building blocks of data, model and algorithm. Each of these building blocks can be created independently from each other, by different individuals or companies, at different times. The challenge here is to compose and build a deployment descriptor from these individual components automatically. This paper presents a novel solution to automate the collaborative composition and generation of deployment descriptors for distributed applications within the cloud-to-edge continuum. The implemented solution has been prototyped in over 25 industrial use cases within the DIGITbrain project, one of which is described in the paper as a representative example.
Author(s)
DesLauriers, James
University of Westminster
Kovacs, Jozsef
Kiss, Tamas
Stork, Andre
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Pena Serna, Sebastian
clesgo GmbH
Ullah, Amjad
University of Westminster
Journal
Future generation computer systems : FGCS  
Project(s)
Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)  
Funding(s)
H2020-EU.2.1.1.1.  
Funder
European Commission  
Open Access
DOI
10.1016/j.future.2024.107628
10.24406/publica-4005
File(s)
1-s2.0-S0167739X24005922-main.pdf (4.96 MB)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Automotive Industry

  • Research Line: (Interactive) simulation (SIM)

  • Research Line: Modeling (MOD)

  • LTA: Interactive decision-making support and assistance systems

  • LTA: Monitoring and control of processes and systems

  • LTA: Scalable architectures for massive data sets

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • Cloud computing

  • Edge

  • Internet of things (IoT)

  • Descriptors

  • Microservices

  • Orchestration

  • Deployment

  • Digital twin (DT)

  • Industry

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