Abstract
A polynomial-time algorithm is presented for partitioning a collection of sporadic tasks among the processors of an identical multiprocessor platform. Since the partitioning problem is NP-hard in the strong sense, this algorithm is unlikely to be optimal.A quantitative characterization of its worst-case performance is provided in terms of resource augmentation.
| Original language | English |
|---|---|
| Pages (from-to) | 199-226 |
| Number of pages | 28 |
| Journal | Real-Time Systems |
| Volume | 36 |
| Issue number | 3 |
| DOIs | |
| State | Published - May 2007 |
Keywords
- Multiprocessors
- Partitioned scheduling
- Sporadic tasks