@inbook{15ccdb30d01946219ee5a89da850514f,
title = "Design and Development of IoT Plugin for HPCC Systems",
abstract = "HPCC Systems is an open source computing system platform which is very frequently used in the field of providing end-to-end big data solutions. Use of big data in IoT (Internet of things) is increasing as a lot of meaningful data can be analyzed and extracted from the data produced by the sensors. In the current HPCC architecture, there is no provision for handling IoT applications. BI is a technology driven process to gain insights and understand data for the efficient running of an organization. To gain insights, an organization needs large amount of real time data which requires lot of resources and energy investments. In order to collect such data for analysis, we turn to IOT based solutions. IOT plugin discussed in this paper is one such solution for HPCC systems, to aggregate the data from sensors to their platform on which further advanced analytics can be performed which help in making data driven decisions.",
keywords = "API, Big data, HPCC systems, IoT, Plugin",
author = "Kashi, {Amogh Vardhan} and Manjunath Jakaraddi and Jyoti Shetty and Arjuna Chala and Dan Camper",
year = "2019",
month = may,
day = "10",
doi = "10.1109/ICBDA.2019.8713225",
language = "American English",
isbn = "9781728112824",
series = "2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019",
pages = "158--162",
booktitle = "2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019",
}