科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2014年
10期
115-117
,共3页
用户博弈%网络代价%负载优化
用戶博弈%網絡代價%負載優化
용호박혁%망락대개%부재우화
user game%network cost%load optimization
网络负载和资源代价的最小化设计可以提高网络容量和业务量,优化分配方案,传统方法中采用的是单网络场景进行业务分配优化,无法满足多种网络混合分配的实际需求,网络代价开销大。提出一种基于用户博弈约束对照算法的网络代价最小化设计方法,构建一个多维业务网络场景的分布式网络模型,把网络间的业务分布的优化问题等效于网络代价最小化设计问题,在网络运营商和用户习惯约束对照博弈中,通过扩展特定业务需要的最小数据速率,减少网络代价,设计网络代价最小化设计优化目标函数。实验结果表明,该算法对网络负载的控制性能较平稳,代价开销控制精度合理,网络代价被约束到了一个较小的范围,使得网络代价最小化,为运营商节省相当多的网络开销。
網絡負載和資源代價的最小化設計可以提高網絡容量和業務量,優化分配方案,傳統方法中採用的是單網絡場景進行業務分配優化,無法滿足多種網絡混閤分配的實際需求,網絡代價開銷大。提齣一種基于用戶博弈約束對照算法的網絡代價最小化設計方法,構建一箇多維業務網絡場景的分佈式網絡模型,把網絡間的業務分佈的優化問題等效于網絡代價最小化設計問題,在網絡運營商和用戶習慣約束對照博弈中,通過擴展特定業務需要的最小數據速率,減少網絡代價,設計網絡代價最小化設計優化目標函數。實驗結果錶明,該算法對網絡負載的控製性能較平穩,代價開銷控製精度閤理,網絡代價被約束到瞭一箇較小的範圍,使得網絡代價最小化,為運營商節省相噹多的網絡開銷。
망락부재화자원대개적최소화설계가이제고망락용량화업무량,우화분배방안,전통방법중채용적시단망락장경진행업무분배우화,무법만족다충망락혼합분배적실제수구,망락대개개소대。제출일충기우용호박혁약속대조산법적망락대개최소화설계방법,구건일개다유업무망락장경적분포식망락모형,파망락간적업무분포적우화문제등효우망락대개최소화설계문제,재망락운영상화용호습관약속대조박혁중,통과확전특정업무수요적최소수거속솔,감소망락대개,설계망락대개최소화설계우화목표함수。실험결과표명,해산법대망락부재적공제성능교평은,대개개소공제정도합리,망락대개피약속도료일개교소적범위,사득망락대개최소화,위운영상절성상당다적망락개소。
Minimization of network load and resource cost can improve the network capacity and optimize distribution scheme, traditional method uses single network scene service distribution for optimization, and it is unable to meet the actu-al needs of mixed distribution network. A network cost minimization control algorithm is proposed based on user game con-straint mechanism, the distributed network model is constructed for multi service network scenario, the network optimiza-tion problem of distribution network business is equivalent to the minimum cost design problem, the network operators and the users habit bound control game is obtained, by extending the minimum data rate of a specific business need, the net-work cost is reduced. Cost of network design optimization objective function minimization is designed. The experimental re-sults show that, the algorithm can control the performance of network load to relatively stable level, the control accuracy and reasonable cost is better, network cost is confined to a smaller range, network cost minimization is obtained, the opera-tors can save considerable network overhead.