Efficient Task Scheduling Approach Relevant to the Hardware/Software Co-Design of Embedded System

Barbara Korou�i� Seljak
<span title="">2000</span> <i title="Faculty of Electrical Engineering and Computing, Univ. of Zagreb"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3darrl4gkvd37b2mcvvdirj7p4" style="color: black;">Journal of Computing and Information Technology</a> </i> &nbsp;
Task scheduling is the primary multitasking activity controlled by the real-time executive. As hardware/software co-design of embedded systems has been enabled by advances in computer technologies, reprogrammable hardware can be used to implement a co-processor to perform most of the kernel functions, including task scheduling. In this kind of system design, more complex scheduling approaches can be applied. In this paper, a complex scheduling approach, which takes into account advantages of
more &raquo; ... lutionary computation (i.e., neurocomputing and genetic search and optimization) is presented. First, we present a model based on the Hopfield-Tank neural network 11]. Then, we introduce modifications of the method based on the network model to improve the quality of the solutions. Finally, we propose a mixed approach of this evolutionary computation method and an extension of the Earliest Deadline First approach 3] for scheduling both types of periodic and aperiodic tasks. We also discuss simulation results that demonstrate performance that could be obtained by using this approach.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2498/cit.2000.03.03">doi:10.2498/cit.2000.03.03</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ldm5tasw5feqrbrvo3shbnnsq4">fatcat:ldm5tasw5feqrbrvo3shbnnsq4</a> </span>
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