A Novel Building and Scheduling Method of Cloud Platform Services for Robot
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Abstract
In view of services extension and service quality improvement, a novel building and scheduling method of cloud platform services for robot is presented. Firstly, an architecture of service robot cloud platform and a framework for interface layer development are designed in detail. Secondly, evaluation and scheduling of cloud platform service are realized by the interface layer with a service quality evaluation algorithm based on historical data and dynamically updated data. Thirdly, the service of cloud platform is developed based on Apache CXF. Finally, the performance of the proposed method is tested through some typical service instances such as face feature extraction service and file upload service. The proposed algorithm is compared with some common algorithms through experiments. The experimental results verify the reliability and advancement of the service processing method in service building and scheduling. The proposed method is an efficient service development method for cloud robot developers to eliminate the heterogeneity problem and reuse the procedure.
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