Analytics-as-a-service in a multi-cloud environment through semantically-enabled hierarchical data processing
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3
- Type
- D - Journal article
- DOI
-
10.1002/spe.2432
- Title of journal
- Software: Practice and Experience
- Article number
- -
- First page
- 1139
- Volume
- 47
- Issue
- 8
- ISSN
- 0038-0644
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- URL
-
https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.2432
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This journal paper outlined an innovative hierarchical data processing architecture that utilises semantics at all the levels of IoT stack in multi-cloud environments. It demonstrated the feasibility of such architecture by building a system using OpenIoT as middleware, and Google Cloud and Azure as cloud environments. The work is a result of a long running collaboration between universities of Bradford, TU Wien, RMI, and Newcastle as part of ERC Advanced Grant. The architecture in this research contributed to two NERC grant proposals at Bradford on Air quality monitoring, and one (successful) NERC grant proposal at Newcastle on landslide monitoring.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
