【摘要】 提出一种应用人工智能技术方法解决基于PVM环境的负载平衡问题 .采用多项负载指标表示结点的负载情况 ,并利用BP算法 ,预测未来的负载情况 ,解决了采用多项负载指标所带来的系统开销大的问题 .在任务分配与任务执行时 ,应用人工智能技术预测各结点的负载情况 ,找到较佳的分配方案 .实验结果证明 ,本算法较通常的算法在性能上有很大的提高更多还原

【Abstract】 This paper presented an artificial intelligence (AI) strategy to resolve load balancing problems under the PVM. Multi load indexes were used to present the load of each node in this algorithm. The BP algorithm was used to predict load of the node and solve the problems caused by the adoption of multi load indexes. The AI technique was employed to accurately predict load of each node and the better allocation for PVM tasks in their initial assignment and in execution time and achieved dynamic load balancing. The experimental results demonstrated that this algorithm performed more effectively than conventional approaches did.更多还原