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

doi:10.1109/CASE49997.2022.9926565

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

^*Corresponding author for this work

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
Publisher	IEEE Computer Society
Pages	934-939
Number of pages	6
ISBN (Electronic)	9781665490429
DOIs	https://doi.org/10.1109/CASE49997.2022.9926565
Publication status	Published - 2022
Event	18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, Mexico Duration: 20 Aug 2022 → 24 Aug 2022

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2022-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	18th IEEE International Conference on Automation Science and Engineering, CASE 2022
Country/Territory	Mexico
City	Mexico City
Period	20/08/22 → 24/08/22

Keywords

Cloud computing
Cost of Data Usage (CDU)
Trustworthiness of Data (TOD)
multi-agent system (MAS)

Access to Document

10.1109/CASE49997.2022.9926565

Cite this

Hou, C., Zhou, C., Wu, C. G., Cong, R., & Li, K. (2022). Optimal Model of Cloud-Based Multi-Agent System for Trade-off Between Trustworthiness of Data and Cost of Data Usage. In 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022 (pp. 934-939). (IEEE International Conference on Automation Science and Engineering; Vol. 2022-August). IEEE Computer Society. https://doi.org/10.1109/CASE49997.2022.9926565

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

abstract = "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.",

keywords = "Cloud computing, Cost of Data Usage (CDU), Trustworthiness of Data (TOD), multi-agent system (MAS)",

author = "Chen Hou and Cangqi Zhou and Wu, {Chu Ge} and Rui Cong and Kun Li",

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doi = "10.1109/CASE49997.2022.9926565",

language = "English",

series = "IEEE International Conference on Automation Science and Engineering",

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Hou, C, Zhou, C, Wu, CG, Cong, R & Li, K 2022, Optimal Model of Cloud-Based Multi-Agent System for Trade-off Between Trustworthiness of Data and Cost of Data Usage. in 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE International Conference on Automation Science and Engineering, vol. 2022-August, IEEE Computer Society, pp. 934-939, 18th IEEE International Conference on Automation Science and Engineering, CASE 2022, Mexico City, Mexico, 20/08/22. https://doi.org/10.1109/CASE49997.2022.9926565

Optimal Model of Cloud-Based Multi-Agent System for Trade-off Between Trustworthiness of Data and Cost of Data Usage. / Hou, Chen; Zhou, Cangqi; Wu, Chu Ge et al.
2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE Computer Society, 2022. p. 934-939 (IEEE International Conference on Automation Science and Engineering; Vol. 2022-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Hou C, Zhou C, Wu CG, Cong R, Li K. Optimal Model of Cloud-Based Multi-Agent System for Trade-off Between Trustworthiness of Data and Cost of Data Usage. In 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE Computer Society. 2022. p. 934-939. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/CASE49997.2022.9926565

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

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Keywords

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