Fine Tuning of Open Source Frameworks(E.G. Telegraf, Kafka Etc) to Deploy Data Streaming Services for IOT Sensor Data Ingestion at Large Scale
Saini, Vivek
Fine Tuning of Open Source Frameworks(E.G. Telegraf, Kafka Etc) to Deploy Data Streaming Services for IOT Sensor Data Ingestion at Large Scale by Vivek Saini - IIT Jodhpur Department of Computer Science and Technology 2023 - vii,32p. HB
IoT devices have been on the rise for a few years now. These devices have been generating tonnes of data every day. Capturing, storing, and processing this data has been a challenge worldwide. In the proposed model, the model is capable of acquiring data from IoT devices in different formats. The model is capable of capturing, storing, and visualizing data using IoT, time series databases, and big data tools/applications such as MQTT, Telegraf, Grafana, and InfluxDB. This huge amount of data is efficiently operated upon with the help of the proposed model, which helps to make efficient and timely decisions to prevent any faults and predict course corrections.
Department of Computer Science and Technology
IoT Data Management
Big Data Tools
MQTT Protocol
MTech Theses
005.74 / S132F
Fine Tuning of Open Source Frameworks(E.G. Telegraf, Kafka Etc) to Deploy Data Streaming Services for IOT Sensor Data Ingestion at Large Scale by Vivek Saini - IIT Jodhpur Department of Computer Science and Technology 2023 - vii,32p. HB
IoT devices have been on the rise for a few years now. These devices have been generating tonnes of data every day. Capturing, storing, and processing this data has been a challenge worldwide. In the proposed model, the model is capable of acquiring data from IoT devices in different formats. The model is capable of capturing, storing, and visualizing data using IoT, time series databases, and big data tools/applications such as MQTT, Telegraf, Grafana, and InfluxDB. This huge amount of data is efficiently operated upon with the help of the proposed model, which helps to make efficient and timely decisions to prevent any faults and predict course corrections.
Department of Computer Science and Technology
IoT Data Management
Big Data Tools
MQTT Protocol
MTech Theses
005.74 / S132F