000 | 01371nam a22001937a 4500 | ||
---|---|---|---|
082 |
_a005.74 _bS132F |
||
100 |
_aSaini, Vivek _945472 |
||
245 |
_aFine Tuning of Open Source Frameworks(E.G. Telegraf, Kafka Etc) to Deploy Data Streaming Services for IOT Sensor Data Ingestion at Large Scale _cby Vivek Saini |
||
260 |
_aIIT Jodhpur _bDepartment of Computer Science and Technology _c2023 |
||
300 |
_avii,32p. _bHB |
||
500 | _aIoT 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. | ||
650 |
_aDepartment of Computer Science and Technology _945473 |
||
650 |
_aIoT Data Management _945474 |
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650 |
_aBig Data Tools _945475 |
||
650 |
_aMQTT Protocol _945476 |
||
650 |
_aMTech Theses _945477 |
||
700 |
_aKalra, Sumit _945478 |
||
942 | _cTH | ||
999 |
_c16593 _d16593 |