Modern manufacturing is becoming more powerful and flexible due to the decreasing cost of smart sensors and data processing platforms.
The ongoing deployment of smart meters, with data processing and communication features, has provided the opportunity to improve distribution systems performance.
Thus, we'll continue to see a focus on smart machines (for data processing) and the IoT (especially its infrastructure and how it connects to everything else) this coming year.
Continual increases of multifaceted IoT devices in healthcare is beset by challenges, such as powering IoT terminal nodes used for health monitoring, data processing, smart decisions, and event management.
The five main functions of smart fabrics are: sensors, data processing, actuators, storage and communication.
The main subject of this paper is to propose an architecture for data processing in Smart Cities.
Data processing for Smart Cities become more challenging, facing with different handling steps: data collection from different heterogeneous sources, processing sometimes in real-time and then delivered to high level services or applications used in Smart Cities.
The incessant increase of the multifaceted IoT devices in health is broadly tested by challenges such as powering the IoT terminal nodes used for health monitoring, real-time data processing and smart decision and event management.
Results also prove that the method has a significant theoretical and practical value for big data processing of smart substation.
3) Parallel compression experiments verify that with the data records increase in a certain range, the cluster has a better parallel processing efficiency, and S′(m,n)(p) and C (m,n)(p) of cloud cluster further prove that big data processing of smart substation based on Hive is feasible. .
