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The rapid deployment of Internet of Things (IoT) applications leads tomassive data that need to be processed. These IoT applications have specificcommunication requirements on latency and bandwidth, and present new featureson their generated data such as time-dependency. Therefore, it is desirable toreshape the current IoT architectures by exploring their inherent nature ofcommunication and computing to support smart IoT data process and analysis. Weintroduce in this paper features of IoT data, trends of IoT networkarchitectures, some problems in IoT data analysis, and their solutions.Specifically, we view that software-defined edge computing is a promisingarchitecture to support the unique needs of IoT data analysis. We furtherpresent an experiment on data anomaly detection in this architecture, and thecomparison between two architectures for ECG diagnosis. Results show that ourmethod is effective and feasible.

Software-Defined Edge Computing: A New Architecture Paradigm to Support IoT Data Analysis