Open AccessImpact of Intelligently-configured Cloud Service Capability for High Manufacturing Performance via a Multi-agent Model
Author(s) -
Xin Zheng,
Xiaodong Zhang,
Shaojuan Lei
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2224/1/012084
Subject(s) - service (business) , cloud computing , adaptability , computer science , cloud manufacturing , task (project management) , relevance (law) , distributed computing , service provider , systems engineering , engineering , operating system , business , ecology , marketing , law , political science , biology
In order to discover the impact of intelligently-configured cloud service capacity for high performance, this paper proposes a multi-agent model that simulates industrial manufacturing activities via a cloud platform via XaaS (Anything-as-a-Service). The multi-agent model is adopted to simulate cloud manufacturing based on two groups of service providers with different configurations on service capability. The capability configurations have been conducted against 8 kinds of service demands with the aim at the impact on how to configure cloud service capacity for high performance. Furthermore, the intelligent configuration is proved with high relevance of better task responses to diverse service demands. In the meantime, the intelligent configuration is also characterized with flexible adaptability and service balance. As a result, service performance has been effectively improved and significantly optimized by adjusting the service sequence within a given period that reduces the switch frequency among diverse service types.