Requirements-driven self-optimization of composite services using feedback control
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1459778
- Type
- D - Journal article
- DOI
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10.1109/TSC.2014.2298866
- Title of journal
- IEEE Transactions on Services Computing
- Article number
- -
- First page
- 107
- Volume
- 8
- Issue
- 1
- ISSN
- 1939-1374
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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-
- 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
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3
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Our paper proposes the first self-optimization algorithm to compose web services. Targeting continuously high Quality of Service (QoS), it laid the foundation of Requirements-Driven Service Composition. Subsequently the work has led to wider applications to composing functional requirements (Graiet et al., 2018), trading off multiple QoS criteria (Cho et al. 2016), composition in Autonomic Systems (Alferez and Pelechano, 2017), in Automatic Configurations (Imed and Graiet, 2018), in IaaS and SaaS cloud (Liang et al. 2018; Mousa et al. 2018). Further extension work were developed for mobile goals (Qian et al. 2018) and composition of nano-processes in Huawei (confirmation on request).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -