Research on optimization allocation of manufacturing resource services in the cloud environment
- Resource Type
- Conference
- Authors
- Luo, Guofu; Zhang, Zhongfei; Wu, Dayuan; Li, Xiaoke; Liu, Geng
- Source
- 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017 IEEE. :1-6 Aug, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Manufacturing
Cloud computing
Optimization
Resource management
Task analysis
Indexes
Mathematical model
Cloud Manufacturing
Optimization Allocation
Maximum Inherit Optimization
- Language
In order to allocate cloud manufacturing resource fast and effectively, a novel method is proposed according to the characteristics of resource allocation and existing problems. The evaluation index system of resource allocation is proposed by deeply analyzing the operation mode of cloud manufacturing and the process of resource allocation. Moreover, the optimization model of manufacturing resource allocation is established in the cloud manufacturing environment, which is solved by Maximum Inherit Optimization algorithm. The performance of proposed method is demonstrated using the simulation experiments.