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In this study, the problem of optimal resource allocation in realtime systems is studied. A recently proposed resource allocation approach called QRAM (Quality of Service based Resource Allocation Model) is investigated in detail. The goal of the QRAM based approaches is to minimize the execution speed in realtime systems while meeting resource constraints and maximizing total utility. Phased array radar system is an example of a system. In this system, multiple targets are tracked by the radar system simultaneously requiring processor and energy resources of the radar system. In the present study, first, the QRAM solution approach to the radar resource allocation problem with single resource type is extended to give a global optimal solution in all possible termination cases. For the case of multiple resource types, the QRAM approach can only generate nearoptimal results. In this study, for the formulated radar resource allocation problem with multiple resource types, the Methods of Feasible Directions are considered as an alternative solution approach.
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