QoS管理:基于模型的方法

S. Fischer, H. Meer
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引用次数: 5

摘要

服务质量(QoS)管理是当前支持多媒体应用的高速分布式系统中的一个重要问题。现有的大多数QoS管理方案通常只是处理资源预留和QoS保证的技术问题,而为了实现服务提供商的利润最大化,往往完全忽略了对服务提供商尤为重要的收益问题。预期的收益不仅取决于流本身,而且很大程度上取决于随机事件,如网络故障或QoS违规。因此,考虑到收入问题和环境可能的随机行为的QoS管理系统似乎优于现有的管理系统。我们展示了如何基于一种新的Petri网,即所谓的受控随机Petri网来开发这种增强的QoS管理系统的控制器程序。我们展示了如何使用工具环境对这些模型进行数值分析,以获得QoS管理系统的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoS management: a model-based approach
Quality of service (QoS) management is an important issue in today's high-speed distributed systems supporting multimedia applications. Most existing QoS management schemes usually just cope with technical issues of resource reservations and QoS guarantees, often completely neglecting revenue issues which are especially important for service providers in order to maximize their profit. The revenue to be expected does not only depend on the stream itself but also very much on stochastic events such as network failures or QoS violations. A QoS management system taking revenue issues and the possibly stochastic behavior of the environment into account thus seems to be superior to the existing ones. We show how controller programs for such enhanced QoS management systems can be developed based on a new kind of Petri nets, so-called controlled stochastic Petri nets. We show how to numerically analyze such models using a tool environment in order to obtain strategies for the QoS management system.
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