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Generalized processor sharing (GPS) is an ideal scheduling algorithm for process schedulers and network schedulers. It is related to the fair-queuing principle which groups packets into classes and shares the service capacity between them. GPS shares this capacity according to some fixed weights.
Justification, Implementations, parametrization and fairness & Overview
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gps processor sharing fairness capacity generalized displaystyle flow packets one network fluid sizes fair scheduling also receive ideal weights use
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| weighted fair queuing | instance of | There are several service disciplines which track the performance of GPS quite closely | 0.80 | text |
| the internet | instance of | JustificationIn a network | 0.80 | text |
| different application types require different levels of performance | instance of | JustificationIn a network | 0.80 | text |
| Generalized processor sharing | related to Implementations, parametrization and fairness | In GPS | 0.60 | section |
| Generalized processor sharing | related to Implementations, parametrization and fairness | GPS | 0.60 | section |
| Generalized processor sharing | related to Implementations, parametrization and fairness | Generalized | 0.60 | section |
| Generalized processor sharing | related to Implementations, parametrization and fairness | However | 0.60 | section |
| Generalized processor sharing | related to Implementations, parametrization and fairness | Therefore | 0.60 | section |
| Generalized processor sharing | related to Implementations, parametrization and fairness | PGPS | 0.60 | section |
| Generalized processor sharing | related to Implementations, parametrization and fairness | Weighted | 0.60 | section |
| Generalized processor sharing | related to Implementations, parametrization and fairness | Deficit | 0.60 | section |
| Generalized processor sharing | related to Implementations, parametrization and fairness | WF2Q | 0.60 | section |
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