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The paper describes how to model and control performance of a trusted web server using Feedback Error Learning and H∞ control theory. Web server load may experience enormous variations and unpredictability. Existing web servers are difficult to achieve performance guaranties in such environment. One of challenges in web server research is how to model non-linearity computing systems. We demonstrate...
Distributed real-time (DRT) systems are increasingly requiring object profiling, scheduling and migration algorithms to respond to unpredictable transient changes in load and availability of resources in an open environment. A key challenge in developing distributed real-time systems is to meeting critical performance constraints when DRT systems become more difficult to predict in terms of the needs...
A key challenge in developing distributed real-time embedded (DRE) systems is to meeting critical performance constraints when DRE systems become more difficult to predict in terms of the needs of the application, particularly those needs that are likely to change dynamically during execution of the application. The system design must combine temporal requirements and considerable uncertainty, together...
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