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Distributed Real-time and Embedded (DRE) systems in which application requirements and environmental conditions may not be known a priori - or which may vary at run-time - can benefit from an adaptive approach to management of Quality-of-Service (QoS) to meet key constraints, such as end-to-end timeliness. This paper offers two contributions to the study of adaptive DRE computing systems, a case study of the integration of multiple middleware QoS management technologies to manage quality and timeliness of imagery adaptively within a representative DRE avionics system and empirical results and analysis of the impact of that integration on key trade-offs between timeliness and image quality in that system.
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