期刊论文

Analytical queuing model with time-varying Markov modulated service rate for M2M small data service

Chi, Xue-Fen

中文

吉林大学学报（工学版）

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)

1671-5497

2015

45

3

966-972

10.13229/j.cnki.jdxbgxb201503041

吉林省科技发展计划项目（20130413052GH）.

本校为其他机构

将机器类通信(M2M)监控视频类业务(SVS)优先占用网络带宽时,网络对M2M小数据类业务(SDS)的服务过程抽象为时变马尔可夫调制服务率的包级排队系统,研究了网络对SDS的服务能力以及SVS对SDS的制约.求解了叠加在SDS随机到达过程上的多态马尔可夫调制泊松过程(MMPP)环境状态概率空间.运用第一步分析法和LS变换,分析了在随机环境过程下SDS的复杂随机服务过程,求解了SDS包服务时间的均值和方差.最后,通过数值仿真给出了SVS的突发度、到达率和服务率对SDS服务特性的影响.

A packet-level queuing system with time-varying Markov modulated service rate was established to model the process that network serves Machine to Machine (M2M) Small Data Services (SDS) when M2M Surveillance Video Services (SVS) use network bandwidth preferentially. The main goal was to investigate the service capability of the network for SDS and the restrictions of SVS on SDS. Stochastic process theory, queuing theory and probability theory were used to analyze the environmental state probability space of the multi-state Markov-modulated Pois...