In open, largely unpredictable environments, Qnnlity of senice (QoS) has recently become an important focus for real-time research. The cost of performing such measurements is a significant hurdle to the widespread deployment of open QoS-aware software components. In this paper, we describe the design and implementation of Adaptive Control middleware, a middleware QoScontrol architecture based on Adaptive control theory, motivated by the needs of performance-assured distributed application. It uses adaptive behavior to meet timeliness requirements in the face of restrictions in processing power and network bandwidth. This paper gives an overview of our implementation on a Real-time CORBA platform.
Real-time Event Channel is increasingly being used in a wide variety of Distributed real-time and embedded (DRE) computing systems. One problem with Real-time Event Channel is that it is sensitive to overload. By analyzing and simulating the performance of Real-time Event Channel this paper revealed the relationship between maximum customers number permitted by Real-time Event Channel and utilization of the system. Thus a fuzzy control mechanism of Real-time EventChannel performance is presented, to control and adjust maximum customers number of Notification Service system. Finally, we fulfilled simulation experiment on mechanism, the outcome shows that fuzzy control can be accommodated to the change of Real-time Event Channel system load and system model more easily, and can control the load at random more efficiently than usual controller do.
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