Poprawa wydajności algorytmu planowania w czasie rzeczywistym LLF

Poprawa wydajności algorytmu planowania w czasie rzeczywistym LLF

Premkumar Balani

82,72 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
ISBN:
9786209261060
82,72 €
IVA incluido
Disponible

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Sobre IBD

Dynamiczne planowanie pozostaje trudnym problemem dla systemów operacyjnych czasu rzeczywistego. EDF (Earliest Deadline First) i LLF (Least Laxity First) to algorytmy dynamiczne, które okazały się optymalne dla systemów jednoprocesorowych, gdy system jest preemptywny i nie jest przeciążony. Jednak ograniczeniem każdego algorytmu dynamicznego jest to, że jego wydajność drastycznie spada, gdy system jest nieco przeciążony. Z drugiej strony RM (Rate Monotonic) i DM (Deadline Monotonic) są algorytmami statycznymi i nie działają optymalnie, ale sprawdzają się dobrze w obu warunkach (tj. przy niewielkim obciążeniu i przy dużym obciążeniu). Celem naszej pracy doktorskiej jest uzyskanie optymalnej wydajności w warunkach niewielkiego obciążenia oraz poprawa wydajności systemów czasu rzeczywistego również w warunkach dużego obciążenia.

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