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Poprawa wydajności algorytmu planowania w czasie rzeczywistym LLF
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ISBN10: 620926106X
ISBN13: 9786209261060
Publisher: Wydawnictwo Nasza Wiedza
Published: Dec 23 2025
Pages: 76
Weight: 0.25
Height: 0.18 Width: 6.00 Depth: 9.00
Language: Polish
ISBN13: 9786209261060
Publisher: Wydawnictwo Nasza Wiedza
Published: Dec 23 2025
Pages: 76
Weight: 0.25
Height: 0.18 Width: 6.00 Depth: 9.00
Language: Polish
Dynamiczne planowanie pozostaje trudnym problemem dla systemów operacyjnych czasu rzeczywistego. EDF (Earliest Deadline First) i LLF (Least Laxity First) to algorytmy dynamiczne, które okazaly się optymalne dla systemów jednoprocesorowych, gdy system jest preemptywny i nie jest przeciążony. Jednak ograniczeniem każdego algorytmu dynamicznego jest to, że jego wydajnośc drastycznie spada, gdy system jest nieco przeciążony. Z drugiej strony RM (Rate Monotonic) i DM (Deadline Monotonic) są algorytmami statycznymi i nie dzialają 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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