By Institute of Electrical and Electronics Engineers
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Extra info for 14th IEEE International Conference on Embedded and Real-time Computing Systems and Applications
Real-time divisible load scheduling for clusters. In Proceedings of the Real-Time Systems Symposium – Work-In-Progress Session, pages 9–12, Rio de Janerio, December 2006.  X. Lin, Y. Lu, J. Deogun, and S. Goddard. Enhanced real-time divisible load scheduling with different processor available times. In Proceedings of the 14th IEEE International Conference on High Performance Computing (HiPC), Goa, India, December 2007. 6 Conclusions  X. Lin, Y. Lu, J. Deogun, and S. Goddard. Real-time divisible load scheduling for cluster computing.
After that task c has been scheduled, there remain 2 time intervals upon which the task (d : 1, 6) can be scheduled (see figure 2-3). Finally, after task d has been scheduled there is no other time intervals upon which the task (e : 1, 6) can be scheduled (see figure 2-4). We can observe that tasks b, c and d satisfy one by one the condition (1) with task a. From this example we know that as soon as a first task o has been scheduled, it remains several intervals of length E(o) where this task could be scheduled or another task which has the same period and WCET as o.
Lines 7 and 8 update the values of the fraction of the workload that has already been allocated, and the index of the processor to be considered next. Properties. It should be evident that the schedule generated by this algorithm is both correct — the job will indeed complete by its deadline on the computed number of processors, according to the schedule that is implicitly determined by the algorithm, and optimal — the number of processors used is the minimum possible. , that the ri ’s are provided in sorted order), it is also evident that the run-time of this algorithm is linear in the number of processors used.
14th IEEE International Conference on Embedded and Real-time Computing Systems and Applications by Institute of Electrical and Electronics Engineers