Optimal Model of Cloud-Based Multi-Agent System for Trade-off Between Trustworthiness of Data and Cost of Data Usage

Chen Hou, Cangqi Zhou*, Chu Ge Wu, Rui Cong, Kun Li

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The cloud-based multi-agent system (MAS) results from the convergence of cloud computing and MAS, and the trustworthy data, the data that best matches the personalized demands of agents on trust attributes of data, is important for the cloud-based MAS. Data usage often comes with cost, and the better the trustworthiness of data (TOD), the higher the cost of data usage (CDU). Therefore, how to make the optimal trade-off for cloud-based MAS between TOD and CDU arises as an interesting issue. To address this issue, this paper proposes a mathematical constrained optimization model to help the agents to obtain the trustworthy data within the acceptable level of CDU. Experiments on a public dataset show its effectiveness.

源语言英语
主期刊名2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
出版商IEEE Computer Society
934-939
页数6
ISBN(电子版)9781665490429
DOI
出版状态已出版 - 2022
活动18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, 墨西哥
期限: 20 8月 202224 8月 2022

出版系列

姓名IEEE International Conference on Automation Science and Engineering
2022-August
ISSN(印刷版)2161-8070
ISSN(电子版)2161-8089

会议

会议18th IEEE International Conference on Automation Science and Engineering, CASE 2022
国家/地区墨西哥
Mexico City
时期20/08/2224/08/22

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