计算机工程Issue(5)：56-61,6.DOI:10.3969/j.issn.1000-3428.2015.05.010
基于灰色预测模型的优先级队列缓存管理策略
Buffer Management Strategy of Priority Queue Based on Gray Prediction Model
摘要
Abstract
To solve the service queue management problem in the Enterprise Service Bus( ESB) integration platform, the buffer management strategy of priority message service queue is proposed. This strategy puts the different priorities business data into different queues. The Business is serviced according to the order of priority packets. Before the next packets arrive,the strategy uses gray prediction to make a real-time prediction about the priority queue ’ s buffer size which can be assigned,makes the queue’ s buffer allocation more reasonable. Experimental results show that the proposed strategy not only can guarantee high priority and low priority traffic to run smoothly in ESB integration platform,but also can reduce the average waiting time,the average residence time for high priority traffic and the risk of message queue congestion.关键词
软件企业服务总线/优先级/缓存管理/服务调度/灰色预测/稳定性分析Key words
software Enterprise Service Bus(ESB)/priority/buffer management/service scheduling/gray prediction/stability analysis分类
信息技术与安全科学引用本文复制引用
唐定勇,林正红,江虹..基于灰色预测模型的优先级队列缓存管理策略[J].计算机工程,2015,(5):56-61,6.基金项目
国家科技支撑计划基金资助项目(2012BAH20F01) （2012BAH20F01）
四川省制造业产业链协同与信息化支撑技术重点实验室基金资助项目(2013002)。 （2013002）
