基于马尔可夫加性到达过程的互联网流量描述

A. Andronov, A. Latkov, Jelena Revzina
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引用次数: 0

摘要

马尔可夫加性到达过程的使用允许考虑到不同类别的到达呼叫,分批到达,到达率对随机环境状态的依赖等。该概率框架用于具有一定容量的单个网络信道中的流量描述。考虑的主要目标是确定这种能力的配额,这些配额被分配给每一类到达的呼叫。配额必须满足信道负载在固定时间间隔内不以指定的概率超过限制水平的条件。采用二次惩罚法进行最优配额分配。文中还考虑了数值算例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Internet traffic description on a base of Markov-Additive Process of arrivals
The use of the Markov-Additive process of arrivals allows to take into account various classes of the arrived calls, the arrivals by batches, the dependence of arrival rate on the state of the random environment and so on. This probabilistic framework is used for the traffic description in the individual network channel having a certain capacity. The main considered aim is to determine the quotas of this capacity, those being given to each class of the arrived calls. The quotas must satisfy the condition when the channel load during fixed time interval did not exceed the limit level with the appointed probability. The Quadratic Penalty Method is used for the optimal quota assignment. The numerical example is considered too.
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