Semi-Federated Scheduling of Parallel Real-Time Tasks on Multiprocessors [article]

Xu Jiang, Nan Guan, Xiang Long, Wang Yi
2017 arXiv   pre-print
Federated scheduling is a promising approach to schedule parallel real-time tasks on multi-cores, where each heavy task exclusively executes on a number of dedicated processors, while light tasks are treated as sequential sporadic tasks and share the remaining processors. However, federated scheduling suffers resource waste since a heavy task with processing capacity requirement x + ϵ (where x is an integer and 0 < ϵ < 1) needs x + 1 dedicated processors. In the extreme case, almost half of the
more » ... processing capacity is wasted. In this paper we propose the semi-federate scheduling approach, which only grants x dedicated processors to a heavy task with processing capacity requirement x + ϵ, and schedules the remaining ϵ part together with light tasks on shared processors. Experiments with randomly generated task sets show the semi-federated scheduling approach significantly outperforms not only federated scheduling, but also all existing approaches for scheduling parallel real-time tasks on multi-cores.
arXiv:1705.03245v1 fatcat:6nk66zeicrghdosub3uofupwva