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Evaluation and Comparison of Integer Programming Solvers for Hard Real-Time Scheduling
2022
IEICE transactions on information and systems
In order to obtain a feasible schedule of a hard real-time system, heuristic based techniques are the solution of choice. In the last few years, optimization solvers have gained attention from research communities due to their capability of handling large number of constraints. Recently, some works have used integer linear programming (ILP) for solving mono processor scheduling of real-time systems. In fact, ILP is commonly used for static scheduling of multiprocessor systems. However, two main
doi:10.1587/transinf.2022edp7073
fatcat:63zyaei3vfbkxawzsw4ljw5gzy