Modeling, Evaluation, and Adaptive Control of an Instrumentation System
نویسندگان
چکیده
This paper models and evaluates the Jewel instrumentation system (IS), which is being used for runtime data collection from a distributed, real-time application. Our modeling and evaluation effort addresses two objectives: (1) providing early feedback to the system developers regarding the Jewel IS configuration options for this application; and (2) evaluation of the design options for an adaptive controller to control the execution of the application, which relies on the instrumentation data collected by the Jewel IS. As a first-cut on the design of the adaptive controller, we study its use for adaptively controlling the overhead and intrusion of the Jewel IS to the application. Performance of the adaptive controller is evaluated in terms of its capability to maintain the IS overhead and its intrusion to the real-time behavior of the application, within a desired range. For Jewel IS design, we compare two data collection and forwarding policies (collect-and-forward and batch-and-forward). For the design of adaptive controller, we compare two adaptation policies (static and dynamic adaptation) and two policies to schedule the implementation of the control decisions (distributed and centralized scheduling). We apply a resource occupancy modeling technique for simulation-based evaluation of the Jewel IS overhead, intrusion, and its response to the adaptive control. We parameterized the resource occupancy model on a Sun Ultra-1 platform for this study. Results reported in this paper suggest that the batch-and-forward policy for IS design and static adaptation policy with a distributed scheduling for the adaptive controller design meet the domain-specific requirements.
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