Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11543
Title: Data analysis as a service: an infrastructure for storing and analyzing the internet of things
Authors: Lehmann, M
Biørn-Hansen, A
Ghinea, G
Grønli, TM
Younas, M
Keywords: Internet of things;Mongodb;Data analysis as a protocol;Meteor;Restful services;Reactive visualisation
Issue Date: 2015
Publisher: Springer International Publishing
Citation: Lecture Notes in Computer Science, 9228: pp. 161 - 169, (2015)
Abstract: As the Internet of Things (IoT) is becoming an increasingly trendy topic both for individuals, businesses and governments, the need for academically reviewed and developed prototypes focusing on certain aspects of IoT are increasing as well. Throughout this paper we propose an architecture and a technology stack for creating real-time applications focusing on time-series data generated by IoT devices. The architecture and technology stack are then implemented through a proof-of-concept prototype named Office Analysis as a Service, DaaS, a data-centric web application developed using Meteor. js and MongoDB. We also propose a data structure for storing time-series data in a MongoDB document for optimal query performance of large datasets. One common research challenge in the IoT, security, is considered only briefly, and is of utmost importance in future research.
URI: http://link.springer.com/chapter/10.1007%2F978-3-319-23144-0_15
http://bura.brunel.ac.uk/handle/2438/11543
DOI: http://dx.doi.org/10.1007/978-3-319-23144-0_15
ISBN: 9783319231433
ISSN: 0302-9743
1611-3349
Appears in Collections:Dept of Computer Science Research Papers

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