AI for Service Computing: Research and Application
In the era of interconnected networks, digitization, and big data, Artificial Intelligence (AI) technology is developing rapidly and has been widely applied in various research and application fields through innovative patterns. This report first introduces the correlative research background, various service models, and key research issues in service computing. Then, it presents the latest research advancements and challenges of predicting Quality of Service (QoS) by deep learning techniques in different computing paradigms. Also, it provides the construction and application effectiveness of a Smart Recycling Collection Service Platform. Finally, it summarizes the future research hotspots and application trends in AI for service computing.
Authors
- Guobing Zou (ORCID: https://orcid.org/0000-0002-7865-8158)
Institutions
- Shanghai University (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/icis61260.2024.10778372
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00