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|Title:||Data analysis as a service: an infrastructure for storing and analyzing the internet of things|
|Keywords:||Internet of things;Mongodb;Data analysis as a protocol;Meteor;Restful services;Reactive visualisation|
|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.|
|Appears in Collections:||Dept of Computer Science Research Papers|
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