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A Flexible IoT Stream Processing Architecture Based on Microservices
| Content Provider | MDPI |
|---|---|
| Author | Bixio, Luca Delzanno, Giorgio Rebora, Stefano Rulli, Matteo |
| Copyright Year | 2020 |
| Abstract | The Internet of Things (IoT) has created new and challenging opportunities for data analytics. The IoT represents an infinitive source of massive and heterogeneous data, whose real-time processing is an increasingly important issue. IoT applications usually consist of multiple technological layers connecting ‘things’ to a remote cloud core. These layers are generally grouped into two macro levels: the edge level (consisting of the devices at the boundary of the network near the devices that produce the data) and the core level (consisting of the remote cloud components of the application). The aim of this work is to propose an adaptive microservices architecture for IoT platforms which provides real-time stream processing functionalities that can seamlessly both at the edge-level and cloud-level. More in detail, we introduce the notion of |
| Starting Page | 565 |
| e-ISSN | 20782489 |
| DOI | 10.3390/info11120565 |
| Journal | Information |
| Issue Number | 12 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-12-02 |
| Access Restriction | Open |
| Subject Keyword | Information Computation Theory and Mathematics Cloud Computing Microservices Architectures Internet of Things Real-time Stream Processing Query Languages |
| Content Type | Text |
| Resource Type | Article |
