Shriram B. Gundala

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This research investigates the problem of allocating a set of heterogeneous applications to a set of heterogeneous machines connected together by a high-speed network. The proposed resource allocation heuristics were implemented on the High Performance Distributed Computing Program’s (HiPer-D) Naval Surface Warfare Center testbed. The goal of this study is(More)
Dynamic real-time systems such as embedded systems operate in environments in which several parameters vary at run time. These systems must satisfy several performance requirements. Resource allocation on these systems becomes challenging because variations of run-time parameters may cause violations of the performance requirements. Performance violations(More)
Recently, with the widespread use of increasingly powerful commercial off-the-shelf (COTS) products, some real-time distributed system designers have started a shift from custom-made systems to COTS-based systems to get lower costs and more flexible systems. This research investigates the problem of allocating real-time applications to a set of COTS(More)
Real-time applications continue to increase in importance as they are employed in various critical areas, such as command and control systems. These applications have traditionally required custom-made systems to execute them. Recently, with the widespread use of increasingly powerful commercial off-the-shelf (COTS) products, some real-time system designers(More)
Real time systems (RTS) operate in an unpredictable changing environment that causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite variations in environmental parameters. EDF (Earliest Deadline First) scheduling has been used to evaluate the robustness of uniprocessor system with(More)
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