机群系统中基于PVM的智能化任务分配和负载平衡模型
AN INTELLIGENT TASK ALLOCATING AND LOAD BANLANCING MODEL BASED ON PVM IN CLUSTER OF WORKSTATION
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摘要: 该文提出和建立了一种机群系统中基于PVM的智能化任务分配和负载平衡模型,它在传统机群系统任务分配和负载平衡方法的基础上引入知识处理和多代理人(agent)系统等人工智能方法来进行知识管理、知识交互、任务协同分配及节点间负载平衡等,具有良好的性能和可伸缩性、可扩充性、自适应性等,是大规模机群系统中任务分配和负载平衡的一种理想方法。Abstract: This paper proposed and created an intelligent task allocating and load balancing model based on PVM in cluster of workstations-ITALBM, which introduced knowledge processing and multi-agent in DAI to the traditional task allocating and load banlancing to perform knowledge administrating, communicating and to coodinately allocate the nodes tasks, and further to balance the nodes load. Through this way, better performance, scalability, extensibility and adapibility are gained.
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