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Distributed soft real-time systems are becoming increasingly unpredictable due to several important factors such as the increasing use of commercial-off-the-shelf components, the trend towards open systems, and the proliferation of data-driven applications whose execution parameters vary significantly with input data. Such systems are less amenable to(More)
While early research on real-time computing was concerned with guaranteeing avoidance of undesirable effects such as overload and deadline misses, adaptive real-time systems are designed to handle such effects dynamically. Various research efforts have addressed the characterization and improvement of the dynamic behavior of real-time systems. However, to(More)
The resource management in distributed real-time systems becomes increasingly unpredictable with the proliferation of data-driven applications. Therefore, it is inefficient to allocate the resources statically to handle a set of highly dynamic tasks whose resource requirements (e.g., execution time) are unknown a prior. In this paper, we build a distributed(More)
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