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Authors: Jan Sipke van der Veen 1 ; Bram van der Waaij 1 ; Matthijs Vonder 1 ; Marc de Jonge 1 ; Elena Lazovik 1 and Robert Meijer 2

Affiliations: 1 TNO, Netherlands ; 2 TNO and Universiteit van Amsterdam, Netherlands

ISBN: 978-989-8565-52-5

Keyword(s): Data Analysis, Data Science, Sensor Data, Cloud Computing.

Related Ontology Subjects/Areas/Topics: Cloud Application Architectures ; Cloud Application Scalability and Availability ; Cloud Computing ; Cloud Middleware Frameworks ; Platforms and Applications

Abstract: Sensors have been used for many years to gather information about their environment. The number of sensors connected to the internet is increasing, which has led to a growing demand of data transport and storage capacity. In addition, evermore emphasis is put on processing the data to detect anomalous situations and to identify trends. This paper presents a sensor data analysis platform that executes statistical analysis programs on a cloud computing infrastructure. Compared to existing batch and stream processing platforms, it adds the notion of simulated time, i.e. time that differs from the actual, current time. Moreover, it adds the ability to dynamically schedule the analysis programs based on a single timestamp, recurring schedule, or on the sensor data itself.

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Paper citation in several formats:
van der Veen, J.; van der Waaij, B.; Vonder, M.; de Jonge, M.; Lazovik, E. and Meijer, R. (2013). Analysis Cloud - Running Sensor Data Analysis Programs on a Cloud Computing Infrastructure.In Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8565-52-5, pages 358-365. DOI: 10.5220/0004371503580365

@conference{closer13,
author={Jan Sipke van der Veen. and Bram van der Waaij. and Matthijs Vonder. and Marc de Jonge. and Elena Lazovik. and Robert Meijer.},
title={Analysis Cloud - Running Sensor Data Analysis Programs on a Cloud Computing Infrastructure},
booktitle={Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2013},
pages={358-365},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004371503580365},
isbn={978-989-8565-52-5},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Analysis Cloud - Running Sensor Data Analysis Programs on a Cloud Computing Infrastructure
SN - 978-989-8565-52-5
AU - van der Veen, J.
AU - van der Waaij, B.
AU - Vonder, M.
AU - de Jonge, M.
AU - Lazovik, E.
AU - Meijer, R.
PY - 2013
SP - 358
EP - 365
DO - 10.5220/0004371503580365

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