機群系統(tǒng)中基于PVM的智能化任務分配和負載平衡模型
AN INTELLIGENT TASK ALLOCATING AND LOAD BANLANCING MODEL BASED ON PVM IN CLUSTER OF WORKSTATION
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摘要: 該文提出和建立了一種機群系統(tǒng)中基于PVM的智能化任務分配和負載平衡模型,它在傳統(tǒng)機群系統(tǒng)任務分配和負載平衡方法的基礎上引入知識處理和多代理人(agent)系統(tǒng)等人工智能方法來進行知識管理、知識交互、任務協(xié)同分配及節(jié)點間負載平衡等,具有良好的性能和可伸縮性、可擴充性、自適應性等,是大規(guī)模機群系統(tǒng)中任務分配和負載平衡的一種理想方法。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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