An AIOps Approach to Data Cloud Based on Large Language Models
Pages 634 - 641
Abstract
In order to overcome the challenges of inefficiency, high error rate and poor scalability in the traditional operations model, and to ensure that the data cloud can provide efficient and stable quality of service, this study explores AIOps strategies for data clouds. This study proposes an AIOps approach based on a large-scale language model, aiming to achieve AIOps of data clouds. The approach builds a system architecture containing an operations big data platform, an intelligent decision-making platform and a tool platform through a comprehensive demand and capability analysis, and details its workflow and functional modules. This approach enables the data cloud to achieve safe and efficient operations in an “unattended” situation, thus providing solid support for the continuous and stable operation of the data cloud platform.
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- An AIOps Approach to Data Cloud Based on Large Language Models
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Published In
June 2024
1206 pages
ISBN:9798400710247
DOI:10.1145/3690407
Copyright © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
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Association for Computing Machinery
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Published: 24 October 2024
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CAIBDA 2024
CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
June 21 - 23, 2024
Zhengzhou, China
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