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Welcome everyone! Today we will discuss FIFO, or First-In-First-Out, which is a page replacement algorithm used in operating systems. Let’s start with the basic concept: FIFO replaces the oldest page when a new one is needed. Can anyone tell me what that means?
Does it mean that the first page that was loaded into memory will be the first one to be replaced?
Exactly, great job! FIFO works like a queue. The page that comes in first is the page that will be removed first. Now, if we have an empty memory initially and we add pages, what happens when the memory becomes full?
The oldest page in memory gets replaced by the new page.
Correct! Let's remember that FIFO does not consider how frequently a page is accessed. What do you think could be the downside of that?
Maybe it would keep pages that are not needed anymore?
Right! It can lead to unnecessary page faults. Let's now illustrate FIFO with an example.
Let's dive into an example using a reference string `2 0 1 6 4 2 0 1 6 4 0 1 0 3 1 2 1`. Imagine we have 4 page frames. What happens on the first four accesses?
All four will be misses because they’re not in memory.
Exactly! Those are compulsory misses. After loading 2, 0, 1, and 6, what happens when we try to add 4?
It will replace 2, because it’s the oldest in memory.
Great! Then we can check the hits and misses for the entire reference string. Can someone tell me what the fault rate would be?
There will be 9 page faults out of 12 references, so that’s a fault rate of 0.75.
Exactly, wonderful analysis!
Now that we understand FIFO, how does it compare with other algorithms? Who can tell me about the optimal page replacement algorithm?
It replaces the page that won't be used for the longest time in the future.
Exactly! While optimal gives the best fault rate, why can’t we use it in real operating systems?
Because we can’t predict the future access of pages.
Right! Now what about LRU, the least recently used algorithm?
It replaces the least recently accessed page, which is more efficient than FIFO.
Correct! LRU can lead to lower fault rates because it considers past usage. Let’s summarize the key differences.
Moving on, LRU is great in theory but has challenges in implementation. Can anyone guess what they are?
Tracking the access pattern of each page could be very complicated.
Exactly! It requires special hardware support or approximation techniques. Can you name some approximations?
Like using reference bits for each page?
Yes! Reference bits help us keep track of whether a page was accessed in a certain period. Let’s ensure we understand how these approximations can be applied. Who can summarize what we've discussed today?
We learned about FIFO, how it works, its weaknesses, and how it compares with optimal and LRU.
Great recap! Remember these comparisons, as they are crucial when choosing a page replacement strategy.
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FIFO is a memory management algorithm that replaces pages in the order they were added, leading to potentially higher page fault rates. This section discusses the functioning of FIFO, its shortcomings, and compares it with optimal page replacement and least recently used (LRU) algorithms.
The FIFO (First-In-First-Out) page replacement algorithm is a simple strategy used in memory management where the oldest page in memory is replaced when a new page is needed. In this section, we analyze the FIFO algorithm through examples and its key characteristics:
For example, given the reference string 2 0 1 6 4 2 0 1 6 4 0 1 0 3 1 2 1
and four page frames:
- Pages 2, 0, 1, and 6 are loaded, incurring 4 compulsory misses.
- On reference to 4, the algorithm replaces page 0 (the oldest).
- As pages are accessed again, additional misses are calculated, leading to a fault rate.
The discussion wraps up with technical implementations of LRU, including challenges in tracking page usage efficiently, leading to the development of approximations like reference bits and sampled LRU.
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So, consider the reference string 2 0 1 6 4 2 0 1 6 4 0 1 0 3 1 2 1. Now here I have 4 page frames, let us say my physical memory only has 4 page frames available and these are the set of memory accesses. So, initially there is nothing in the physical memory. So, the first 4 misses are compulsory misses.
In the FIFO (First In, First Out) page replacement algorithm, pages are added to memory until the capacity is full. In our example, the reference string consists of a sequence of page requests. We start with 4 empty page frames. When the first four unique page requests (0, 2, 1, and 6) arrive, since the memory is initially empty, these requests lead to page faults, termed 'compulsory misses' because the pages have never been in memory before.
Imagine you have a cupboard with only four slots for your favorite books. The first four books you try to put in the cupboard will fill up those slots, and if you try to put in a fifth book, you will have to remove one of the books you initially placed in the cupboard to make space.
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Now, 4 comes in whom will 4 replace? 0 was the first one to come into memory. So, the 0 is the oldest. So, 0 is replaced with 4. Now, 0 is accessed again; it leads to another page fault. 0 will replace 2, who is now the oldest one.
When page 4 is requested, it replaces the oldest page, which is page 0 since it arrived first. The FIFO algorithm does not take into account the future requests; it simply replaces the page that has been in memory the longest. After replacing 0 with 4, if page 0 is requested again, it results in a page fault since 0 is no longer in memory, leading to page 0 replacing page 2, which is now the oldest.
Think of a queue of customers waiting for service. The first customer is served first and leaves. If the next customer comes, and the first customer (who is now gone) is called back, it cannot be done - they would have to take the place of a customer that arrived later.
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So, what is the fault rate? I had 12 memory references out of 12 references nine resulted in a fault. So, the fault rate is 9 by 12 or 0.75.
The page fault rate is the ratio of the number of page faults to the total number of memory references. In this case, there were 12 references made, 9 of which resulted in page faults. Therefore, the fault rate is calculated as 9/12, which simplifies to 0.75, indicating that three-quarters of the time, a page fault occurs upon a memory request.
Imagine you are in a class and you have 12 questions that require you to turn in papers. If you turn in the wrong papers 9 out of those 12 times, it shows you have a high error rate of 75%, meaning on average, you are making mistakes in a majority of your submissions.
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FIFO although is very simple, it is a poor replacement policy why it evicts the oldest page in the system and it does not take care whether this page is being heavily used currently or not.
The FIFO replacement policy has a significant limitation: it may evict pages that are frequently used simply because they were loaded first. This can lead to an inefficient use of memory, especially if an older page has become crucial for ongoing processes. Because FIFO does not consider how often or when pages are accessed, it can often lead to a suboptimal page replacement strategy.
Consider a vending machine that only allows you to remove the oldest snacks. If a brand-new snack becomes the favorite choice of everyone but was loaded after several older options, that favorite will end up remaining on the shelves until all older snacks are sold out, regardless of popularity or demand.
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Before proceeding to the next actual algorithm we will go into a hypothetical actual algorithm, which actually cannot exist in practice, but is used as a measure of comparison for all other algorithms called the optimal page replacement algorithm.
The optimal page replacement algorithm serves as a theoretical benchmark, which proposes to replace the page that will not be used for the longest time in the future. Although it provides the lowest possible page fault rate, it is impractical because it requires knowledge about future requests, which is not possible. Therefore, this algorithm helps compare the effectiveness of other replacement policies.
Imagine a bus schedule where you know the exact times of your future trips. Using the optimal algorithm would mean you would plan your seats based on not just who is there now but who is expected to leave later, which is not possible in real life. In reality, you have to make decisions on the fly.
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Key Concepts
FIFO: A method of page replacement that evicts the oldest page.
Page Fault: A fault that occurs when a requested page is not in memory.
Compulsory Miss: The first access to a page in memory that results in a fault.
Optimal Replacement: The theoretical best algorithm for page replacement.
LRU: An efficient approach that replaces the least recently used page.
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In FIFO, accessing pages in the order of 2, 0, 1, and 6 creates initial misses until memory is full, demonstrating the compulsory miss effect.
When using optimal replacement, page 4 replaces page 6 since it will not be referenced again, showcasing its efficiency against FIFO.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
FIFO, FIFO, it's quite a show, first in first out, as pages do flow.
Imagine a line of people waiting to enter a show. The first person in line is the first to get in, and if someone new arrives, they let the first person from the lines go first. This is how FIFO works in memory management.
FIFO - First In, First Out. Remember: First comes, first serves! It's straightforward.
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Review the Definitions for terms.
Term: FIFO
Definition:
First-In-First-Out, a page replacement algorithm that removes the oldest page from memory.
Term: Page Fault
Definition:
An event that occurs when a program tries to access a page that is not currently in memory.
Term: Compulsory Miss
Definition:
A type of page fault that occurs when a page is accessed for the first time.
Term: Optimal Page Replacement
Definition:
A theoretical page replacement strategy that evicts the page which will not be referenced for the longest time in the future.
Term: Least Recently Used (LRU)
Definition:
A page replacement algorithm that removes the least recently used page from memory.