Microservices based Framework to Support Interoperable IoT Applications for Enhanced Data Analytics

Muhammad Aslam Jarwar

Research output: Contribution to journalArticlepeer-review


Internet of things is growing with a large number of diverse objects which generate billions of data streams by sensing, actuating and communicating. Management of heterogeneous IoT objects with existing approaches and processing of myriads of data from these objects using monolithic services have become major challenges in developing effective IoT applications. The heterogeneity can be resolved by providing interoperability with semantic virtualization of objects. Moreover, monolithic services can be substituted with modular microservices. This article presents an architecture that enables the development of IoT applications using semantically interoperable microservices and virtual objects. The proposed framework supports analytic features with knowledge-driven and data-driven techniques to provision intelligent services on top of interoperable microservices in Web Objects enabled IoT environment. The knowledge-driven aspects are supported with reasoning on semantic ontology models and the data-driven aspects are realized with machine learning pipeline. The development of service functionalities is supported with microservices to enhance modularity and reusability. To evaluate the proposed framework a proof of concept implementation with a use case is discussed.
Original languageEnglish
Pages (from-to)636-639
Number of pages4
JournalProceedings of Symposium of the Korean Institute of Communications and Information Sciences
Publication statusPublished - 19 Oct 2019

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  • Cathie Marsh Institute


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