Campus-oriented adaptive computing grid resource scheduling technology research
|School||Northwestern Polytechnical University|
|Course||Applied Computer Technology|
|Keywords||Computing Grid Adaptive Resource Scheduling Load Balancing on-demand Individuation|
Computational grid resources with distributed , heterogeneous , dynamic and autonomous , etc. , which makes the computational grid operating environment and application model faces many technical challenges , the task has a decisive impact on the efficiency of resource scheduling technology is one of them. Based on the existing grid computing environment, resources used in scheduling analysis and research , pointed out that the current resource scheduling in grid computing resources, data representation , resource scheduling model and scheduling algorithm and other aspects of imperfections, design and implementation of a comprehensive consideration of user needs and system load adaptive grid resource scheduling system. Specific studies are as follows : ( 1 ) study the resource data based on XML XQuery expression and resource -based query methods . This resource has a semi-structured expression , simplicity , portability , etc. , in order to lay the foundation for resource scheduling . ( 2 ) proposes an XML-based description mechanism personalized resource requirements . You can express all kinds of on-demand software / hardware computing resources , and help to improve resource discovery and matching speed, especially for the implementation of a targeted optimization of resource scheduling to provide a strong support. ( 3 ) Considering the operational requirements of individual users and grid system load balancing , proposed and implemented adaptive global resource scheduling algorithms. Algorithm based on the calculation of the individual grid job resource requirements and node load conditions , weigh candidates globally adaptive computational grid nodes , and ultimately selected a suitable job for the grid nodes. In this paper, adaptive resource scheduling technology has been in my school campus computing grid projects in the application , and achieved satisfactory results. Meanwhile, the paper part of the research results have also successfully used in China is currently the largest supercomputing centers - Shanghai Supercomputer Center .