【24h】

A fast algorithm for calculating CBP in large-scale sharing resource networks

机译:大规模共享资源网络中CBP的快速计算算法

获取原文
获取原文并翻译 | 示例

摘要

The call blocking probability (CBP) is one of the major parameters imposed to describe the quality of service (QOS) in network, and it is widely used to every kinds of network for all customers. With the increasing of network scale, conventional Kaufman recursion method and Convolution method are un-available for data overflow problem in large-scale network. In order to accommodate to large-scale network, Revised Kaufman method and Revised Convolution method introduce a scheme to avoid data overflow, but they have tedious computation time for high computation complexity. A fast algorithm for calculating CBP is proposed in this paper. In large-scale network, the fast algorithm avoids data overflow by introducing a pre-process scheme, and decreases computation complexity by FFT method. Numerical results show that the fast algorithm has reliable accuracy and high speed.
机译:呼叫阻塞概率(CBP)是用来描述网络中服务质量(QOS)的主要参数之一,并且已广泛用于所有客户的各种网络。随着网络规模的扩大,传统的考夫曼递归方法和卷积方法已无法解决大规模网络中的数据溢出问题。为了适应大规模网络,修正的考夫曼方法和修正的卷积方法引入了一种避免数据溢出的方案,但是它们具有繁琐的计算时间,并且具有很高的计算复杂度。提出了一种快速计算CBP的算法。在大规模网络中,快速算法通过引入预处理方案来避免数据溢出,并通过FFT方法降低计算复杂度。数值结果表明,该算法具有较高的精度和速度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号