在离散时间域中保持指定QoS约束的随机建模

L. Guan, M. Woodward, I. Awan
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引用次数: 1

摘要

服务质量(QoS)对于适应Internet中日益多样化的业务范围和流量类型至关重要,而将延迟保持在指定值是关键的QoS要求。本文建立了一个两态马尔可夫调制伯努利过程(MMBP)作为源模型。为了满足一定的延迟,我们提出了一个离散时间有限容量队列的解析模型,该模型在系统中包含两个阈值(状态1中的L/sub 1/和状态2中的L/sub 2/),使得源可以被阻塞。如果系统收到的报文数达到阈值,则停止发送报文,否则正常运行。这可以看作是从队列到到达过程的隐式反馈。此外,当到达进程处于特定状态时,利用该信息调整阈值L/sub 1/和L/sub 2/,使通过队列的平均延迟保持在某个指定的值,以满足QoS要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic modelling of maintaining specified QoS constraints in discrete-time domain
Quality of service (QoS) is of extreme importance to accommodate the increasingly diverse ranges of services and types of traffic in the Internet, and maintaining the delay at a specified value is a key QoS requirement. In this paper, a two-state Markov-modulated Bernoulli process (MMBP) is set up as our source model. To satisfy some specified delay, we present an analytical model for a discrete-time finite capacity queue, which incorporates two thresholds (L/sub 1/ in state-one and L/sub 2/ in state-two) in the system so that the source can be blocked. If the number of packets in the system reaches the threshold, then the source stops sending the packets, otherwise the source operates normally. That can be considered as an implicit feedback from the queue to the arrival process. In addition, when the arrival process is in a specific state, this information is used to adjust the thresholds L/sub 1/ and L/sub 2/ so that the mean delay through the queue is maintained at some specified value to satisfy QoS requirements.
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