Flow-Based Programming for IoT Leveraging Fog Computing

The number of devices connected to the Internet is constantly growing. They are interacting with each other and produce data that has to be processed. The increasing data volume generated by the IoT devices is well handled by the flow based programming where data is moved through the networks of pro...

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Veröffentlicht in:2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) S. 74 - 79
Hauptverfasser: Szydlo, Tomasz, Brzoza-Woch, Robert, Sendorek, Joanna, Windak, Mateusz, Gniady, Chris
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.06.2017
Schlagworte:
Cloud computing
Data processing
Edge computing
Image color analysis
Programming
Sensors
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Zusammenfassung:The number of devices connected to the Internet is constantly growing. They are interacting with each other and produce data that has to be processed. The increasing data volume generated by the IoT devices is well handled by the flow based programming where data is moved through the networks of processes. Limited resources of the devices are compensated by the clouds creating the continuum. Nevertheless, to increase responsiveness in IoT or optimize the network bandwidth it might be necessary to move some processing to the fog i.e. to the devices located closer to the data sources. Execution of data flow on the number of heterogeneous IoT devices is not trivial as they offer different computational resources. In the paper, the concept of data flow transformation in order to execute parts of it, closer to the sources of data, on the devices with constrained resources is presented.
DOI:10.1109/WETICE.2017.17