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QoS Control by Balancing Continuous MM Streams

机译:通过平衡连续MM流来控制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。通过传感相关的系统变量和通过控制馈电输入组件来实现端到端控制。虽然传感器是连续活动,但在大多数情况下控制是一个离散的。当系统的某些不变条件违反时,将发出离散控制信号。其中型号遵守连续操作系统的组件,连续传感器部件和离散地采用分组。为了实现足够的观点,设想将代表连续系统行为的建模概念与用于离散的决策和转向传输流源的建模概念相结合。决策和控制由所谓的混合系统表示。系统行为本身由连续流建模。混合系统是状态机的组合以及连续不断发展的变量。连续流模型基于微分方程。

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