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Deriving deadlines and periods for update transactions so as to maintain timeliness and data freshness while minimizing imposed workload has long been recognized an important problem in real-time database research. Despite years of active research, the state-of-the-art still has much room for improvement, particularly for periodic transactions scheduled by the Earliest Deadline First (EDF) algorithm...
This paper studies the problem of scheduling preemptable queries with relative consistency constraints when the absolute consistency for real-time data objects is preserved. The single query schedule problem is studied first, then the multiple queries scheduling problem. An optimal algorithm and several heuristics for scheduling multiple queries are proposed. Experiments are also conducted to compare...
Limited network bandwidth and dynamic changes in workload have serious impact on the performances of networked control systems. For a multiple loops networked control system in a dynamic environment, this paper proposes a real-time network scheduling method based on the idea of feedback scheduling. System packet loss rate can be reduced by dynamically adjusting the sampling period of tasks, thus achieving...
This paper investigates how to combine fault tolerance with power management in embedded real-time systems at the same time. Fault tolerance is achieved by check pointing, and power management is carried out via dynamic voltage and frequency scaling (DVFS). Also, we take tasks' average switched capacitances into consideration. We present a fault-tolerant schedulability analysis for a periodic tasks...
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