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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
PublisherIEEE Computer Society
Pages934-939
Number of pages6
ISBN (Electronic)9781665490429
DOIs
Publication statusPublished - 2022
Event18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, Mexico
Duration: 20 Aug 202224 Aug 2022

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2022-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference18th IEEE International Conference on Automation Science and Engineering, CASE 2022
Country/TerritoryMexico
CityMexico City
Period20/08/2224/08/22

Keywords

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

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