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Good morning, class! Today we're diving into how approximate LRU works. Can anyone tell me what a reference bit is?
Isn't it a bit that shows whether a page was accessed recently?
Exactly! Each page has a reference bit. If a page is accessed, we set that bit to 1. Why do you think that might help us in page replacement?
It helps us know which pages haven't been used, so we can replace them!
Right! At the end of a predetermined interval, we reset all bits to 0. Remember, if the bit is 0 during replacement, that page hasn't been accessed recently. We can assume it's less likely to be needed soon.
So how do we decide which page to evict if all bits are the same?
Great question! We revert to FIFO. If multiple pages have a reference bit of 0, we evict the page that was loaded first.
This sounds a lot cheaper than implementing hardware for exact LRU!
Exactly! That's the purpose of approximate LRU. Let's summarize: we use reference bits to track usage efficiently. Can anyone explain when we'd reset these bits?
Now let's explore the sampled LRU strategy. Who knows how it differs from approximate LRU?
Is it... because it uses a reference byte?
That's correct! Each page has a reference byte in addition to the reference bit. What do you think we store in that byte?
Do we save the history of references?
Precisely! Before we clear the reference bits, we copy their values into the reference byte. This gives us data from the last time intervals. Why might this be useful?
It helps us better understand page access patterns over time!
Exactly! By using the numerical value of the reference byte, we find pages least accessed recently for replacement more effectively. Well done! Let's summarize the benefits of using sampled LRU.
Moving forward, let's discuss the clock algorithm or the second chance page replacement method. Who can tell me what makes this algorithm stand out?
It checks page reference bits in a circular manner, right?
Correct! If a page's reference bit is set to 1, it gives it a 'second chance' by setting it to 0 and skipping ahead. Why do you think this is advantageous?
It avoids replacing pages that might be used again soon!
Exactly! What happens if all pages have their reference bits set to 1?
We have to cycle through all of them until we find one to replace!
Well put! It ensures that based on recent usage, we keep only those pages that are likely to be needed again. Let’s summarize the attributes of the clock algorithm.
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The section explains the approximate implementation of LRU (Least Recently Used) page replacement in operating systems, focusing on the use of reference bits to monitor page access and suggesting alternative strategies such as sampled LRU and the clock algorithm, also considering the implications of dirty pages in replacement decisions.
The chapter discusses the limitations of implementing exact LRU in hardware due to performance overhead and proposes an approximate LRU (Least Recently Used) approach which utilizes reference bits. Each page in memory has a reference bit in the page table that indicates whether the page has been accessed or not.
When a page is accessed, its reference bit is set to 1. Periodically, all reference bits are reset to 0 at fixed time intervals. When a page needs to be replaced, the system looks for a page with a reference bit of 0, indicating it has not been used in the current interval. This method is quicker and easier than tracking actual usage history but is not perfect. If all bits are zero for the candidate pages, FIFO (First In, First Out) is used to decide which page to evict.
The section also introduces 'sampled LRU,' where an additional field—a reference byte—is introduced to store historical access information over multiple intervals, allowing for a more refined replacement policy. Both the sampled LRU and the clock algorithms help manage pages based on their usage while considering memory and performance constraints, especially when dealing with modified (dirty) pages that need to be written to disk before replacement. Overall, these approaches provide a balance between resource efficiency and performance in memory management.
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So, if I do not implement this counter method or the stack method in hardware I have to implement that in software, meaning that whenever there is a memory reference, I have to go to the OS and update data structures, which is also impractical because memory references are a very frequent phenomena. So therefore, the exact version of ALU is not often used and instead approximate LRU is commonly used.
This chunk introduces the concept of Approximate Least Recently Used (LRU) implementation. It explains that exact LRU is difficult to implement due to the high frequency of memory references, as updating the data structures in the operating system (OS) would be impractical. Hence, Approximate LRU is more commonly used.
Think of it like trying to track every single customer who visits a store in real-time. If you tried to update a database every time a customer entered or left, it would be overwhelming and slow. Instead, you might just keep a general log of quien entered last or rely on simpler methods to manage this data.
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So, one of the most common implementations is to use an approximate version of ALU, which uses reference bit in the page table for each page. So, what how does this operate? On a reference to a page this bit is set to 1 ok. So, each page has a reference bit when I am referring to this page when I am accessing this page and this page is in memory I am setting this bit from 0 to 1, if it is not already 1 ok.
This chunk discusses the implementation of Approximate LRU using reference bits. Each page in memory has a reference bit, which is set to 1 whenever that page is accessed. If the page's reference bit is already 1, it remains unchanged. This helps in tracking pages based on recent accesses.
Consider a library where every time a book is read, a marker is attached to it signaling that it was recently borrowed. Thus, you can easily see which books are popular based on who marked them. Similarly, reference bits mark pages as accessed, helping determine which ones to keep in memory.
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Now, at and I have time periods or frames or intervals. So, fixed size intervals after which I check for the after which I set the bits of all pages, I said the reference bits of all pages to 0. So, I when at the start of a time interval, I set the reference bits of all pages to 0 and then within that particular interval every page that is referenced their reference bits are set to 1.
In this portion, the text explains the use of fixed time intervals for resetting reference bits. At the beginning of each time interval, all reference bits are set to 0. During the interval, any page accessed will have its reference bit set to 1. This approach helps in maintaining a fresh perspective on which pages are most recently accessed.
Think of it like a weekly meeting at work where you review attendance from the past week. At the start of each week, you reset the attendance list. Throughout the week, you note who has been present. At the end of the week, you can see who attended the most.
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And then when the when a particular page has to be replaced, I will try to use a page for which the reference bit is 0. So, a reference bit is 0 means that in the in the current time interval it has not been accessed; that means, it has it is it is of higher probability that it is of higher probability that this page will also not be used in the recent future because, it has not been used in the current timestamp.
This chunk explains the strategy for page replacement in the Approximate LRU scheme. When a page needs to be replaced, the algorithm prioritizes selecting a page with a reference bit of 0, indicating it hasn't been accessed in the current interval. This choice is based on the assumption that such pages are less likely to be needed soon.
Imagine a queue at a coffee shop: if a customer hasn’t ordered in a while (like a page with a 0 reference bit), they might be less likely to order again soon. When looking to serve new customers, the shop might choose to skip over those who haven’t ordered recently.
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Now if all bits are same for a for a given reference bit suppose I find out among all pages for which the reference bit is 0, I may like to select the one which has which was which came into memory at the earliest; that means, first in first out, I will use FIFO for a given value of the reference bit.
If multiple pages have a reference bit of 0 when a replacement is needed, this chunk explains that a First-In-First-Out (FIFO) strategy is applied to determine which page to replace. The assumption is that the page that has been in memory the longest is less likely to be needed soon.
Consider a queue of people waiting for service: the first person in line is often serviced first. Similarly, among the pages not accessed recently, the one that has been around the longest is likely the best candidate for replacement.
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The next one is sampled LRU, sampled LRU who is an extension over the approximate LRU which we studied using just one reference bit.
This chunk introduces 'sampled LRU', which builds upon the concept of approximate LRU by using more detailed tracking methods. Instead of just a reference bit, a reference byte is used to capture more detailed history about access patterns of the pages.
Think of it as upgrading from a simple attendance marker (just presence) to a detailed logbook that records not just who was present, but how often and when they showed up over a longer period—it gives a better picture of who frequently uses what.
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Now what happens is this, that instead of in addition to the reference bit I have a reference byte for each page. So, the first byte of a page will be used as a reference byte reference byte for the page.
In sampled LRU, every page has not only a reference bit but also a reference byte. This allows for a more comprehensive recording of access instances over multiple intervals, providing a longer history of page accesses.
Imagine keeping a diary that not only says 'I attended the meeting' but also details 'I asked questions, offered ideas, and proposed solutions'—a more nuanced version of attendance.
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So, at the end of each time interval there what I was doing, I was I was setting all the reference bits to 0. Here, additionally what I do is I get the OS involved and what does the OS do here? The OS reads the reference bit for each page; the OS reads the reference bit for each page and the reference which is stuffed, so, at the beginning byte for the page.
At the end of each time interval, the OS not only resets the reference bits to 0 but also captures these bits into the reference byte for analysis. This additional step helps retain a record of how recently each page has been accessed.
Think of a teacher taking attendance at the end of the week and noting not just whether each student was present or absent, but also tracking patterns over time, like who frequently shows up late or leaves early.
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The numerical value of this byte tells me in the last 8 intervals what was the access pattern of it. This MSB has the highest weight meaning that it could be that in the last few intervals this page was not used, but that page was used immediately here.
The numerical value of the reference byte indicates access patterns over the last several intervals. This value allows the system to evaluate which pages were accessed most frequently and which can be evicted with less consequence.
Imagine keeping track of your grocery list for the last month. The items you’ve bought most frequently over that period are likely what you’ll need sooner than those that haven’t appeared on your list.
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Lower the value of this byte better is this page or candidate for replacement. So, I should replace a page having least value for this byte. Again for all pages having the same value of this numerical byte, so, having the same numerical value all pages for which the numerical value of this byte is same, I will choose that page which came into the memory at the earliest.
Pages are selected for replacement based on the lowest numerical value of their reference bytes. If multiple pages share the same value, the system uses FIFO to choose which to evict, preferring the one that has been in memory the longest.
In a vending machine, if two items are equally desirable but one has been in the machine longer, the vending machine might choose to replace the older item first to make room for newer stock.
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Key Concepts
Approximate LRU: An efficient method using reference bits to estimate page usage without expensive hardware.
Sampled LRU: Enhances approximate LRU with a reference byte to track historical page access.
Clock Algorithm: A circular method to manage page replacement, providing second chances based on reference bits.
See how the concepts apply in real-world scenarios to understand their practical implications.
A page with a reference bit of 0 is less likely to be used soon, making it a candidate for replacement in approximate LRU.
If all pages have their reference bits set to 1 in the clock algorithm, the algorithm cycles through each page to provide opportunities for those that might be used again.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
In memory, we take a glance, Reference bits give pages a chance.
Imagine your bookshelf as memory; the books you haven't touched recently are moved to the back. Those are your candidates for replacement.
RBS - Reference Bit Strategy helps to remember to reset and check for replacement.
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Review the Definitions for terms.
Term: Reference Bit
Definition:
A bit in the page table that indicates whether a page has been accessed recently.
Term: FIFO
Definition:
First In, First Out; a page replacement algorithm that evicts the oldest page in memory.
Term: Sampled LRU
Definition:
An improved LRU strategy that uses a reference byte in addition to the reference bit to track access patterns over time.