IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i7p1839-d343797.html
   My bibliography  Save this article

Configurable DDS as Uniform Middleware for Data Communication in Smart Grids

Author

Listed:
  • Alaa Alaerjan

    (Department of Computer Science, Jouf University, Sakaka 72388, Saudi Arabia)

  • Dae-Kyoo Kim

    (Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309, USA)

  • Hua Ming

    (Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309, USA)

  • Hwimin Kim

    (Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309, USA)

Abstract

Data Distribution Service (DDS) has emerged as a potential solution for data communication challenges in smart grids. DDS is designed to support quality communication for large scale real-time systems through a wide range of QoS policies. However, a smart grid involves various types of communication applications running on different computing environments. Some environments have limited computing resources such as small memory and low performance, which makes it difficult to accommodate DDS. In this paper, we present a feature-based approach for tailoring DDS to configure lightweight DDS by selecting only the necessary features for the application in consideration of the resource constraints of its running environment. This allows DDS to serve as a uniform communication middleware across the smart grid, which is critical for interoperability. We analyze DDS in terms of features and design them using Unified Modeling Language (UML) and Object Constraint Language (OCL) based on inheritance and overriding. We define a formal notion of feature composition to build DDS configurations. We implemented the approach in OpenDDS and demonstrate its application to different application environments. We also experimented the approach for the efficiency of configured DDS in terms of resource utilization. The results show that configured DDS is viable for efficient and quality data communication for applications that run on an environment with limited computing capability.

Suggested Citation

  • Alaa Alaerjan & Dae-Kyoo Kim & Hua Ming & Hwimin Kim, 2020. "Configurable DDS as Uniform Middleware for Data Communication in Smart Grids," Energies, MDPI, vol. 13(7), pages 1-29, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1839-:d:343797
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/7/1839/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/7/1839/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Isidro Calvo & Aitana Espin & Jose Miguel Gil-García & Pablo Fernández Bustamante & Oscar Barambones & Estibaliz Apiñaniz, 2022. "Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings," Energies, MDPI, vol. 15(6), pages 1-23, March.
    2. Ridlo Sayyidina Auliya & Chia-Ching Chen & Po-Ru Lin & Deron Liang & Wei-Jen Wang, 2023. "Optimization of message delivery reliability and throughput in a DDS-based system with per-publisher sending rate adjustment," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 84(2), pages 235-250, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1839-:d:343797. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.