A Personal Analytics Platform for the Internet of Things - Implementing Kappa Architecture with Microservice-based Stream Processing

Theo Zschörnig, Robert Wehlitz, Bogdan Franczyk

2017

Abstract

The foundation of the Internet of Things (IoT) consists of different devices, equipped with sensors, actuators and tags. With the emergence of IoT devices and home automation, advantages from data analysis are not limited to businesses and industry anymore. Personal analytics focus on the use of data created by individuals and used by them. Current IoT analytics architectures are not designed to respond to the needs of personal analytics. In this paper, we propose a lightweight flexible analytics architecture based on the concept of the Kappa Architecture and microservices. It aims to provide an analytics platform for huge numbers of different scenarios with limited data volume and different rates in data velocity. Furthermore, the motivation for and challenges of personal analytics in the IoT are laid out and explained as well as the technological approaches we use to overcome the shortcomings of current IoT analytics architectures.

Paper Citation

in Harvard Style

Zschörnig T., Wehlitz R. and Franczyk B. (2017). A Personal Analytics Platform for the Internet of Things - Implementing Kappa Architecture with Microservice-based Stream Processing . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 733-738. DOI: 10.5220/0006355407330738

in Bibtex Style

@conference{iceis17,
author={Theo Zschörnig and Robert Wehlitz and Bogdan Franczyk},
title={A Personal Analytics Platform for the Internet of Things - Implementing Kappa Architecture with Microservice-based Stream Processing},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={733-738},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006355407330738},
isbn={978-989-758-248-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Personal Analytics Platform for the Internet of Things - Implementing Kappa Architecture with Microservice-based Stream Processing
SN - 978-989-758-248-6
AU - Zschörnig T.
AU - Wehlitz R.
AU - Franczyk B.
PY - 2017
SP - 733
EP - 738
DO - 10.5220/0006355407330738