Abstract
The advent of IoT caused vigorous development of multiple services in diverse industry areas. Especially, smart home services have high accessibility than other services since they are based on everyday home appliances, so they gained special attention of application developers. Those services generate a large volume of data: it not only helps service providers to provide services more efficiently, but also helps them to guarantee Service Level Agreement (SLA) of those services. In this paper, we apply time dependency and usage continuity of daily appliances, and correlation between different services to model behavior patterns of service users and generate reliable synthetic data based on their real log data.
Original language | English |
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Title of host publication | Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 226-229 |
Number of pages | 4 |
ISBN (Electronic) | 9781509055104 |
DOIs | |
Publication status | Published - 2017 Mar 17 |
Event | 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 - Las Vegas, United States Duration: 2016 Dec 15 → 2016 Dec 17 |
Other
Other | 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 |
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Country | United States |
City | Las Vegas |
Period | 16/12/15 → 16/12/17 |
Keywords
- data analysis
- IoT
- Smart home
- synthetic data generation
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Health Informatics
- Artificial Intelligence
- Computer Networks and Communications