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QoS Control by Balancing Continuous MM Streams

机译:通过平衡连续MM流进行QoS控制

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摘要

Loosely coupled systems, i.e. distributed systems that have to execute a common task obviously need some type of end-to-end control. End-to-end control will be achieved by sensoring relevant system variables and by controlling the feeding input components. Whereas sensoring is a continuous activity, controlling in most cases is a discrete one. Discrete controlling signals will be issued when certain invariant conditions of the system get violated. Models of which obey the components of a continuously operating system, a continuously sensoring component and a discretely decision-taking component. In order to achieve an adequate view it is envisaged to combine modelling concepts that represent the continuous system behaviour with those for discrete decision-taking and for steering the stream sources. Decision-taking and controlling is represented by so-called hybrid systems. The system behaviour itself is modelled by continuous streams. Hybrid systems are a combination of state machines together with continuously evolving variables. The continuous stream model is based on differential equations.
机译:松散耦合的系统,即必须执行常见任务的分布式系统,显然需要某种类型的端到端控制。端到端控制将通过感测相关系统变量并控制进料输入组件来实现。传感是一项连续的活动,而在大多数情况下,控制是一项离散的活动。当违反系统的某些不变条件时,将发出离散控制信号。其模型服从连续操作系统的组件,连续传感的组件和离散决策组件。为了获得足够的视野,设想将代表连续系统行为的建模概念与用于离散决策和操纵流源的建模概念相结合。决策和控制以所谓的混合系统为代表。系统行为本身是由连续流建模的。混合系统是状态机与不断发展的变量的组合。连续流模型基于微分方程。

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