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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | To, Kar-Keung Chan, Ho-Leung Lam, Tak-Wah |
| Copyright Year | 2005 |
| Abstract | In this paper we consider multiprocessor scheduling with hard deadlines and investigate the cost of eliminating migration in the online setting. Let I be any set of jobs that can be completed by some migratory offline schedule on m processors. We show that I can also be completed by a nonmigratory online schedule using m speed-5.828 processors (i.e., processors 5.828 times faster). This result supplements the previous results that I can also be completed by a nonmigratory offline schedule using 6m unit-speed processors [B. Kalyanasundaram and K. R. Pruhs, J. Algorithms, 38 (2001), pp. 2--24] or a migratory online schedule using m speed-2 processors [C. A. Phillips et al., Algorithmica, 32 (2002), pp. 163--200]. Our result is based on a simple conservative scheduling algorithm called PARK, which commits a processor to a job only when the processor has zero commitment before its deadline. A careful analysis of PARK further shows that the processor speed can be reduced arbitrarily close to 1 by exploiting more processors (say, using 16m speed-1.8 processors). PARK also finds application in overloaded systems; it gives the first online nonmigratory algorithm that can exploit moderately faster processors to match the performance of any migratory offline algorithm. |
| Starting Page | 669 |
| Ending Page | 682 |
| Page Count | 14 |
| File Format | |
| ISSN | 00975397 |
| DOI | 10.1137/S0097539703435765 |
| e-ISSN | 10957111 |
| Journal | SIAM Journal on Computing (SMJCAT) |
| Issue Number | 3 |
| Volume Number | 34 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2006-07-27 |
| Access Restriction | Subscribed |
| Subject Keyword | Analysis of algorithms and problem complexity job migration resource augmentation Analysis of algorithms online algorithms Distributed algorithms multiprocessor scheduling competitive analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics Computer Science |
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