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Speed is as powerful as clairvoyance
Open accessAbstract
We introduce resource augmentation as a method for analyzing online scheduling problems. In resource augmentation analysis the on-line scheduler is given more resources, say faster processors or more processors, than the adversary. We apply this analysis to two well-known on-line scheduling problems, the classic uniprocessor CPU scheduling problem 1 | r i , pmtn|Σ F i , and the best-effort firm real-time scheduling problem 1| r i , pmtn | Σ w i ( 1- U i ). It is known that there are no constant competitive nonclairvoyant on-line algorithms for these problems. We show that there are simple on-line scheduling algorithms for these problems that are constant competitive if the online scheduler is equipped with a slightly faster processor than the adversary. Thus, a moderate increase in processor speed effectively gives the on-line scheduler the power of clairvoyance. Furthermore, the on-line scheduler can be constant competitive on all inputs that are not closely correlated with processor speed. We also show that the performance of an on-line scheduler is best-effort real time scheduling can be significantly improved if the system is designed in such a way that the laxity of every job is proportional to its length.
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Cites
Motwani, R., Phillips, S., & Torng, E. (1994) · Theoretical Computer Science · doi:10.1016/0304-3975(94)90151-1 · Cited by 232
Cited by
A Survey of Research into Mixed Criticality Systems
Burns, A., & Davis, R. I. (2018) · ACM Computing Surveys · doi:10.1145/3131347 · Cited by 282
Chen, N., Kurniawan, C., Nakahira, Y., Chen, L., & Low, S. H. (2022) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2021.3138615 · Cited by 39
Metadata
- Authors
- Kalyanasundaram, B., & Pruhs, K.
- Venue
- Journal of the ACM
- Published
- 2000-07
- Volume
- 47
- Issue
- 4
- Pages
- 617-643
- ISSN
- 0004-5411 (ISSN-L)
- 1557-735X
- OpenAlex
- W276536446
- Cited by
- 561
- References
- 1
- FWCI
- 36.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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