期刊文献+

基于动态策略和移动预测的资源分配方案

Resource allocation scheme based on dynamic policy and mobile prediction
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摘要 针对传统策略不能很好地适应网络状态变化的问题,提出了一种移动环境下基于动态策略和移动预测信息的动态资源分配方案。根据用户移动的预测信息及指导策略和通用策略,策略决策点(PDP)在移动用户到来之前进行决策,并在决策时确定策略的动作参数值,减少了存储策略的数量,增加了策略对网络状态的适应性。实验表明采用动态策略对网络资源进行分配在保证实时新业务的阻塞率条件下,降低了实时切换业务的掉线率,提高了网络资源的利用率。 A dynamic resource allocation scheme based on dynamic policies and mobile predicted information was presented for the problem that traditional policies cannot preferably get adapted to the change of network state. Policy Decision Point (PDP) made decisions before the mobile users' arriving and worked out parameter values of the action according to the predicted information of the users, guidance policies and universal policies when it made decisions, which decreased the amount of stored policies and improved the adaptability of policies to network state. By experiments and analysis, it is shown that this scheme insures new call blocking probability, reduces handoff call dropping probability and increases network resource utilizing rate.
出处 《计算机应用》 CSCD 北大核心 2008年第12期3032-3036,共5页 journal of Computer Applications
基金 国家自然科学基金资助项目(60573128)
关键词 基于策略的网络管理 动态策略 移动预测 资源管理 服务质量 Policy Based Network Management (PBNM) dynamic policy mobile prediction resource management Quality of Service (QoS)
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参考文献8

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