A Scalable Implementation of Wide Area Monitoring System based on Spark
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In this project, the PMUs data are streamed real time and processed using Spark based phasor data concentrator (PDC), which works on distributed cluster and process the data on various nodes of cluster in real time; where PMU data are aligned, concentrated, and aggregated. ...learn more
Project status: Published/In Market
Groups
DeepLearning
Intel Technologies
Intel Python,
Intel Opt ML/DL Framework
Overview / Usage
In this project, the PMUs data are streamed real time and processed using Spark based phasor data concentrator (PDC), which works on distributed cluster and process the data on various nodes of cluster in real time; where PMU data are aligned, concentrated, and aggregated. After processing the data, various latencies are calculated and visualized using High Chart on dashboard. To develop this project, the technologies like Spark Streaming, Redis, High Chart, and Node.Js are used.
Methodology / Approach
In this project, the PMUs data are streamed real time and processed using Spark based phasor data concentrator (PDC), which works on distributed cluster and process the data on various nodes of cluster in real time; where PMU data are aligned, concentrated, and aggregated. After processing the data, various latencies are calculated and visualized using High Chart on dashboard. To develop this project, the technologies like Spark Streaming, Redis, High Chart, and Node.Js are used.
Technologies Used
Spark Streaming, Redis, High Chart, and Node.Js