Development of a Context-aware framework for the Integration of Internet of Things and Cloud Computing for Remote Monitoring Services
Ali Al-Shdifat, Christos Emmanouilidis · Procedia Manufacturing · 2018
With global competition and technological progress, there have been growing demands by industry for more efficiency in monitoring the health status of the manufacturing equipment in real time. Remote monitoring services in the era of Industry 4.0 are nonetheless faced some challenges such as big data’s 4V challenges (volume, velocity, variety, veracity), scalability, data heterogeneity, as well as relevant to integrating data with domain knowledge. While all these pose problems in conventional monitoring, they become even more challenges when integrating IoT and cloud computing to deliver advanced services to offer infrastructure availability and ubiquitous accessibility. Although it offers many benefits and solution enablers, substantial effort is required to manage and exploit the data generated by "things". Among the key instruments to tackle such complexity is the concept of context information management. This paper proposes a conceptual context-aware framework for the integration of Internet of Things and cloud computing for remote monitoring services.