arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0904.2018cs.NIcs.PF
收藏

基于时域领域模型的随机服务保障分析

Stochastic Service Guarantee Analysis Based on Time-Domain Models

J. Xie, Y. Jiang

摘要:

随机网络演算是计算机通信网络随机服务保证分析的理论。在目前的随机网络演算文献中,其流量和服务器模型通常分别基于累积流量和累积服务量。然而,存在这样的模型的适用性受到限制的网络场景,因此需要对流量和服务进行建模的新方法来解决此限制。本文介绍了随机网络演算的时域领域模型和结果。特别是,我们定义的流量模型,这是基于概率下限的累积数据包到达时间间隔,和服务器模型,这是基于概率上限的累积数据包服务时间。此外,还提供了使用所提出的领域模型的例子.在此基础上,证明了随机网络演算的五个基本性质,这表明所提出的时域方法具有广泛的适用性。

英文摘要:

Stochastic network calculus is a theory for stochastic service guarantee analysis of computer communication networks. In the current stochastic network calculus literature, its traffic and server models are typically based on the cumulative amount of traffic and cumulative amount of service respectively. However, there are network scenarios where the applicability of such models is limited, and hence new ways of modeling traffic and service are needed to address this limitation. This paper presents time-domain models and results for stochastic network calculus. Particularly, we define traffic models, which are based on probabilistic lower-bounds on cumulative packet inter-arrival time, and server models, which are based on probabilistic upper-bounds on cumulative packet service time. In addition, examples demonstrating the use of the proposed time-domain models are provided. On the basis of the proposed models, the five basic properties of stochastic network calculus are also proved, which implies broad applicability of the proposed time-domain approach.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑