Automated context aware composition of Advanced Telecom Services for environmental early warnings
- Submitting institution
-
University of East London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9
- Type
- D - Journal article
- DOI
-
10.1016/j.eswa.2014.03.045
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 5907
- Volume
- 41
- Issue
- 13
- ISSN
- 0957-4174
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
-
- 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
-
3
- Research group(s)
-
3 - Secure Software Engineering
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work utilized AI automated planning to partially automate the composition of web services and telecommunication services which led in 2016 to the research project “Monitoring time optimization in convergent telecommunications services” funded by the Colombian government, and to one PhD scholarship and a postdoctoral project. Further results have extended the concept of automated composition to the monitoring and reconfiguration of networks and processes [1], to error detection in telecommunication processes [2], and the use of Hierarchical Task Networks for automating the management of Software Defined Networks [3][4].
[1] 10.1109/PESOS.2015.9
[2] 10.1109/EATIS.2016.7520103
[3] 10.1109/ISCC.2017.8024713
[4] 10.1109/ACCESS.2018.2852649
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
