Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems
Today, the Internet of Things (IoT) is pervasive and characterized by the rapid growth of IoT platforms across different application domains, enabling a variety of business models and revenue streams. This opens new opportunities for companies to extend their collaborative networks and develop innov...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/12/4010 |
| _version_ | 1797530629060952064 |
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| author | Rohit A. Deshmukh Dileepa Jayakody Alexander Schneider Violeta Damjanovic-Behrendt |
| author_facet | Rohit A. Deshmukh Dileepa Jayakody Alexander Schneider Violeta Damjanovic-Behrendt |
| author_sort | Rohit A. Deshmukh |
| collection | DOAJ |
| description | Today, the Internet of Things (IoT) is pervasive and characterized by the rapid growth of IoT platforms across different application domains, enabling a variety of business models and revenue streams. This opens new opportunities for companies to extend their collaborative networks and develop innovative cross-platform and cross-domain applications. However, the heterogeneity of today’s platforms is a major roadblock for mass creation of IoT platform ecosystems, pointing at the current absence of technology enablers for an easy and innovative composition of tools/services from the existing platforms. In this paper, we present the Data Spine, a federated platform enabler that bridges IoT interoperability gaps and enables the creation of an ecosystem of heterogeneous IoT platforms in the manufacturing domain. The Data Spine allows the ecosystem to be extensible to meet the need for incorporating new tools/services and platforms. We present a reference implementation of the Data Spine and a quantitative evaluation to demonstrate adequate performance of the system. The evaluation suggests that the Data Spine provides a multitude of advantages (single sign-on, provision of a low-code development environment to support interoperability and an easy and intuitive creation of cross-platform applications, etc.) over the traditional approach of users joining multiple platforms separately. |
| first_indexed | 2024-03-10T10:32:40Z |
| format | Article |
| id | doaj.art-dd2b2eb804bb4034add3115c4bd069da |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:32:40Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-dd2b2eb804bb4034add3115c4bd069da2023-11-21T23:34:30ZengMDPI AGSensors1424-82202021-06-012112401010.3390/s21124010Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform EcosystemsRohit A. Deshmukh0Dileepa Jayakody1Alexander Schneider2Violeta Damjanovic-Behrendt3Fraunhofer Institute for Applied Information Technology FIT, 53754 Sankt Augustin, GermanySalzburg Research Forschungsgesellschaft, 5020 Salzburg, AustriaFraunhofer Institute for Applied Information Technology FIT, 53754 Sankt Augustin, GermanySalzburg Research Forschungsgesellschaft, 5020 Salzburg, AustriaToday, the Internet of Things (IoT) is pervasive and characterized by the rapid growth of IoT platforms across different application domains, enabling a variety of business models and revenue streams. This opens new opportunities for companies to extend their collaborative networks and develop innovative cross-platform and cross-domain applications. However, the heterogeneity of today’s platforms is a major roadblock for mass creation of IoT platform ecosystems, pointing at the current absence of technology enablers for an easy and innovative composition of tools/services from the existing platforms. In this paper, we present the Data Spine, a federated platform enabler that bridges IoT interoperability gaps and enables the creation of an ecosystem of heterogeneous IoT platforms in the manufacturing domain. The Data Spine allows the ecosystem to be extensible to meet the need for incorporating new tools/services and platforms. We present a reference implementation of the Data Spine and a quantitative evaluation to demonstrate adequate performance of the system. The evaluation suggests that the Data Spine provides a multitude of advantages (single sign-on, provision of a low-code development environment to support interoperability and an easy and intuitive creation of cross-platform applications, etc.) over the traditional approach of users joining multiple platforms separately.https://www.mdpi.com/1424-8220/21/12/4010IoT platform interoperabilityService-Oriented ArchitectureSmart Manufacturingsmart factoryindustry 4.0Cloud Manufacturing |
| spellingShingle | Rohit A. Deshmukh Dileepa Jayakody Alexander Schneider Violeta Damjanovic-Behrendt Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems Sensors IoT platform interoperability Service-Oriented Architecture Smart Manufacturing smart factory industry 4.0 Cloud Manufacturing |
| title | Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems |
| title_full | Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems |
| title_fullStr | Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems |
| title_full_unstemmed | Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems |
| title_short | Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems |
| title_sort | data spine a federated interoperability enabler for heterogeneous iot platform ecosystems |
| topic | IoT platform interoperability Service-Oriented Architecture Smart Manufacturing smart factory industry 4.0 Cloud Manufacturing |
| url | https://www.mdpi.com/1424-8220/21/12/4010 |
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