The Research on Data-Intensive Resource Scheduling in Intelligence Processing

Based on the requirements and process of data processing, this paper contrives a multi-evel and multi-stage resource scheduling model in information processing, which will implement unified resource management and dynamic resource scheduling. This paper researches information processing resource scheduling from user-level resource allocation and task-level resource scheduling. It comparative analysis different scheduling needs of pre-processing stage and data sharing stage. And then, this paper presents data processing models for each stage and introduces scheduling algorithms, which are suitable for different stages. Abstract Based on the requirements and process of data processing, this paper contrives a multi-level and multi-stage resource scheduling model in intelligence processing, which implements unified resource management and dynamic resource scheduling. This paper researches resource scheduling of intelligence processing from both user-level resource allocation and task-level resource scheduling. On contrast of different scheduling needs of pre-processing stage and data sharing stage, this paper presents data processing models for both stages as well as scheduling algorithms, which are suitable for different stages.