What is optimal page replacement algorithm in OS?
In operating systems, whenever a new page is referred and not present in memory, page fault occurs and Operating System replaces one of the existing pages with newly needed page. In this algorithm, OS replaces the page that will not be used for the longest period of time in future.
What is optimal page algorithm?
2. Optimal Page replacement – In this algorithm, pages are replaced which would not be used for the longest duration of time in the future. Example-2:Consider the page references 7, 0, 1, 2, 0, 3, 0, 4, 2, 3, 0, 3, 2, with 4 page frame.
What is the optimal page replacement algorithm answer?
Explanation: Optimal page replacement algorithm has the lowest fault rate as it has the knowledge of all the pages beforehand. Explanation: Optimal page replacement algorithm is also called a Clairvoyant replacement algorithm or Belady’s optimal replacement algorithm. 3.
What are the types of page replacement algorithm?
Page Replacement Algorithms in OS
- FIFO Page Replacement Algorithm. It is a very simple way of Page replacement and is referred to as First in First Out.
- LIFO Page Replacement Algorithm.
- LRU Page Replacement Algorithm in OS.
- Optimal Page Replacement Algorithm.
- Random Page Replacement Algorithm.
Is Round Robin a page replacement algorithm?
In the Second Chance page replacement policy, the candidate pages for removal are considered in a round robin matter, and a page that has been accessed between consecutive considerations will not be replaced.
What is Belady’s anomaly in OS?
In computer storage, Bélády’s anomaly is the phenomenon in which increasing the number of page frames results in an increase in the number of page faults for certain memory access patterns. This phenomenon is commonly experienced when using the first-in first-out (FIFO) page replacement algorithm.
How does optimal page replacement algorithm select the next page?
Explanation: The optimal page replacement algorithm will select the page whose next occurrence will be after the longest time in future.