Advances in Integrated Digital Engineering Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (25 January 2022) | Viewed by 2461

Special Issue Editor

Mechanical and Aeronautical Engineering Division L5, Department of Mechanical, Aerospace & Civil Engineering, University of Manchester, Manchester, UK
Interests: digital engineering; high performance computing; artificial intelligence

Special Issue Information

Dear Colleagues,

To address increasing customer, environmental, and legislative demands, everything we make needs to be re-imagined. Therefore, the importance of digital engineering is more pressing than ever. Beyond the traditional physics-based simulations, engineers are increasingly using more advanced technologies to capture data and craft design in a digitised environment. Through digital test beds, teams can rapidly prototype digital versions of new products, study strengths and weaknesses, seek customer feedback and unlock insights that lead to innovation. Integrated digital engineering applications improve communication, enhance decision making, and foster a more efficient engineering process, supporting the whole product life-cycle from design to manufacture, maintenance and repair, reuse or recycle.

The aim of this Special Issue is to explore the re-engineering of engineering through the integration of advanced digital technologies. Research papers or case studies involving any discipline of engineering are welcome. Topics may include, but are not limited to, the following:

  • Cyber-Physical Systems
  • Digital Data Capture & Manipulation
  • Digital Design, Fabrication, Operations, & Decommissioning
  • Digital Twin
  • Digital Thread
  • Interoperability and Integration
  • Internet of Things & Sensors
  • Machine Learning & Deep Learning
  • Parametric & Generative Design
  • Virtual & Augmented Reality

Dr. Lee Margetts
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital engineering
  • high performance computing
  • artificial intelligence

Published Papers (1 paper)

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Research

11 pages, 4853 KiB  
Article
A Model-Driven Architecture for Automated Deployment of Microservices
by Isil Karabey Aksakalli, Turgay Celik, Ahmet Burak Can and Bedir Tekinerdogan
Appl. Sci. 2021, 11(20), 9617; https://0-doi-org.brum.beds.ac.uk/10.3390/app11209617 - 15 Oct 2021
Cited by 5 | Viewed by 1664
Abstract
Microservice architecture consists of a collection of loosely coupled, self-contained services that can be deployed independently. Given the limited capacity of the resources for a large number of services, the deployment of the services does not scale well and leads to operational complexity [...] Read more.
Microservice architecture consists of a collection of loosely coupled, self-contained services that can be deployed independently. Given the limited capacity of the resources for a large number of services, the deployment of the services does not scale well and leads to operational complexity and runtime overhead. This paper proposes a model-driven approach for the automated deployment of microservices to minimize the execution cost and communication costs among the microservices. The identification of the feasible deployment is defined at the architecture design level based on the provided capacity of the resources and the collection of microservices. The corresponding tool support using Eclipse Modeling Environment is described, and a case study on book shopping is used to illustrate the approach. Full article
(This article belongs to the Special Issue Advances in Integrated Digital Engineering Applications)
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