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.

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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
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article

AI for Service Computing: Research and Application

Guobing Zou
IoT and Edge/Fog Computing
article

AI for Service Computing: Research and Application

Guobing Zou
article en

Abstract

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.

Shanghai University (CN)
Openalex Percentile: Top 74%
IoT and Edge/Fog Computing
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