An ontology alignment framework for data-driven microservices

Salvadori, Ivan; Oliveira, Bruno C. N.; Huf, Alexis; Inacio, Eduardo C.; Siqueira, Frank

doi:10.1145/3151759.3151793

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…By using the microservices approach, we can scale and extend the service-oriented (SOA) architecture-based systems because the scalability and availability of IoT services is feasible [28]. Salvadori et al, [29] used data-driven microservices for the alignment of ontologies in a cross-domain scenario. As in the proposed model, we used semantic web notions, including Resource Description Framework (RDF), Web Ontology Language (OWL), Extensible Markup Language (XML) and SPARQL in VOs, CVOs-based data modeling and data processing microservices in order to provide modular, scalable, and efficient smart services with enhanced data availability.…”

Section: Background and Related Workmentioning

confidence: 99%

Microservices Model to Enhance the Availability of Data for Buildings Energy Efficiency Management Services

2019

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In the Internet of Things (IoT)-supported energy data management infrastructure, objects from various energy generation and consumption terminals in buildings produce a tremendous amount of data. However, this data is not useful unless it is available on-time for services that discover meaningful information in order to provide intelligent decisions. The microservices-based data caching, data virtualization, data processing, data analysis, and data ingestion methods can be applied to enhance the data availability for energy efficiency management services provision across buildings. To foster building energy efficiency management services (BEEMS), Web of Objects (WoO) provides data abstraction, aggregation, and ingestion mechanism with virtual objects (VOs) and composite virtual objects (CVOs) by using ontologies and availability and scalability of services with microservices. This article proposes the use of data processing microservices modeling to enhance data availability and expose services capabilities with microservices for BEEMS. We present a semantic web agent based on an ontology for linking, enhancement, reusability, and availability of data-objects, services, and microservices. For the evaluation, we present a use case, which includes heterogeneous data collection and processing and provision of various BEEMS. A prototype for the use case scenario has been built and the results have been evaluated in the laboratory to mimic the enhanced data availability for BEEMS.

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Section: Background and Related Workmentioning

confidence: 99%

Microservices Model to Enhance the Availability of Data for Buildings Energy Efficiency Management Services

2019

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Microservice transition and its granularity problem: A systematic mapping study

Hassan¹,

Bahsoon²,

Kazman

2020

Softw Pract Exp

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Microservices have gained wide recognition and acceptance in software industries as an emerging architectural style for autonomic, scalable, and more reliable computing. The transition to microservices has been highly motivated by the need for better alignment of technical design decisions with improving value potentials of architectures. Despite microservices' popularity, research still lacks disciplined understanding of transition and consensus on the principles and activities underlying that transition. In this paper, we report on a systematic mapping study that consolidates various views, approaches and activities that commonly assist in the transition to microservices. The study aims to provide a better understanding of the transition; it also contributes a working definition of the transition and technical activities underlying it. We term the transition and technical activities leading to microservice architectures as microservitization. We then shed light on a fundamental problem of microservitization: microservice granularity and reasoning about its adaptation as first-class entities. This study reviews state-of-the-art and-practice related to reasoning about microservice granularity; it reviews modeling approaches, aspects considered, guidelines and processes used to reason about microservice granularity. This study identifies opportunities for future research and development related to reasoning about microservice granularity.

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