Configurable DDS as Uniform Middleware for Data Communication in Smart Grids

Alaa Alaerjan, Dae-Kyoo Kim, Hua Ming and Hwimin Kim
Additional contact information
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

Energies, 2020, vol. 13, issue 7, 1-29

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.

Keywords: communication; configuration; DDS; feature; publish–subscribe; smart grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/7/1839/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/7/1839/ (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:jeners:v:13:y:2020:i:7:p:1839-:d:343797

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

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