Name
Abstract | ||
|---|---|---|
With the development of Cloud Computing, more and more cloud platforms are designed for robots. However, the problem of low efficiency of service call becomes serious when large scale robots access the cloud platform based on Service Oriented Architecture (SOA). This paper proposes a service robot cloud platform to overcome this problem. Firstly, the service robot cloud platform is designed. Secondly, the robot service scheduling algorithm based on Genetic Algorithm (GA) is proposed to make a more efficient service scheduling. Lastly, the voice recognition service is used to verify the availability and high services accuracy of the platform. Cloudsim is used to test a number of performances on the cloud platform comparing with the traditional Service Oriented Architecture. The results show that the proposed cloud platform architecture has higher service invocation efficiency and availability. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACIRS.2019.8936034 | 2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) |
Keywords | Field | DocType |
service robot,cloud platform architecture,cloud service pool,service scheduling | Architecture,Scheduling (computing),Computer science,Robot,Genetic algorithm,Service-oriented architecture,Service robot,Cloud computing,Distributed computing,CloudSim | Conference |
ISBN | Citations | PageRank |
978-1-7281-2230-4 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Liu | 1 | 0 | 1.01 |
| Fengyu Zhou | 2 | 1 | 1.02 |
| Lei Yin | 3 | 9 | 1.79 |