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Today, we’re going to learn about page faults. Can someone tell me what a page fault might be?
Isn't it when you try to access a memory page that is not present in RAM?
Exactly! When a program references a virtual page that isn't in physical memory, we get a page fault. What do we need to do next?
We have to load it from secondary storage, right?
Correct! Remember, accessing secondary storage can take millions of nanoseconds, while accessing RAM usually takes much less time. That brings us to the next point. What consequences does this have?
It slows down the program a lot because we're waiting for that data.
Right! This delay is called the page fault penalty. It’s crucial we minimize this penalty. Let’s summarize key points: Page faults happen when a virtual page isn’t present in RAM, requiring retrieval from secondary storage leading to performance issues.
Let's now discuss strategies to reduce page faults. Who can tell me why it's important to choose the right page size?
If the page size is too small, we might end up with multiple accesses to secondary storage.
Exactly! A larger page size helps in maximizing locality of reference by reducing the number of times we need to access the data. What’s a common range for page sizes?
I believe it’s usually between 4KB and 64KB for most systems.
Great! However, in resource-constrained environments like embedded systems, smaller page sizes like 1KB are often used to prevent internal fragmentation. Can anyone explain what internal fragmentation is?
It’s when there’s wasted space within a memory page that isn’t used.
Exactly! Hence, smaller pages help in managing memory more efficiently. Before we move on, let’s recap. Larger page sizes can reduce page fault frequency, while smaller sizes help manage internal fragmentation.
Now let's dive into the role of page tables. Who can explain what a page table does?
It maps virtual page numbers to physical page numbers.
Exactly! Each process has its own page table that stores this mapping. When a page fault occurs, what does the page table indicate?
It tells whether the page is valid or if we need to fetch it from the disk.
Right again! It also stores additional information like reference bits and dirty bits. Can anyone tell me the significance of dirty bits?
Dirty bits indicate if the page has been modified and needs to be written back to the disk.
Well done! Remember, efficient management through page tables reduces the likelihood of page faults. Summary time: Page tables map virtual addresses to physical memory and their status helps manage page faults.
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The section delves into page faults, which occur when requested virtual pages are not found in physical memory, necessitating their loading from secondary storage. It discusses the high cost of accessing secondary storage compared to main memory, outlines strategies employed to reduce page faults, such as optimal page sizes and fully associative memory, and emphasizes the significance of page tables in managing these faults.
In modern computing, page faults occur when a program attempts to access a page that is not currently loaded into physical memory. In such cases, the operating system must fetch the page from secondary storage, leading to performance penalties due to slower access speeds.
Understanding page faults and the mechanisms to manage them is crucial for operating systems, affecting both performance and resource allocation.
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Now page as I told that if for a corresponding virtual corresponding virtual page number the physical page is not there is there is not a proper translation of the virtual page to a physical page, I have a page fault. What does that mean? I have loaded a virtual address, for that I have a virtual page number, the translation told me that corresponding to that virtual page number this virtual page does not currently reside in physical memory. So, I have to access the data corresponding data or code corresponding to this page I have to first bring this page from the secondary storage to a page frame in physical memory and then I will get a proper translation and after that can I access data in that physical page frame.
A page fault occurs when the system tries to access a page that is not currently in physical memory. For example, when a program requests data or instructions, the system checks the virtual address associated with it. If the virtual page number does not point to a valid physical page (meaning the data is not in memory), this triggers a page fault. The operating system must then retrieve the page from secondary storage (like a hard drive) and load it into memory, making it accessible for further processing.
Think of the physical memory (RAM) as a small bookshelf in a library and the secondary storage (hard drive) as the library's extensive book storage. If someone wants to read a book that is not on the shelf (in RAM), a librarian (the operating system) must go to the back storage to fetch it. Until that happens, the reader can't access the information from that book, similar to how the program cannot execute instructions or access data due to a page fault.
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Now page faults can be the page fault penalty for virtual memories is very high. Why because the access times on the secondary storage is very high. Now to access a, whereas let us say for accessing the main memory I will only take around say 50 to 70 nanoseconds for accessing the accessing the secondary storage I may take millions of nanoseconds. For example it could be as big as 5 million nanoseconds let us say. So therefore, to access the secondary storage to a service a page fault I need to the secondary storage to fetch a page from the disk and this takes millions of clock cycles.
Page faults have a significant performance penalty due to the difference in speed between main memory (RAM) and secondary storage (like hard drives or SSDs). For instance, accessing data in RAM might take only 50 to 70 nanoseconds, while retrieving data from secondary storage could take millions of nanoseconds, sometimes up to 5 million nanoseconds. This difference in speed means that when a page fault occurs, it can severely slow down program execution as the system waits for the needed data to be retrieved from secondary storage.
Imagine you are cooking and need a specific ingredient that is not on your kitchen counter (RAM), but instead in your pantry (secondary storage). If you had to run to the pantry each time you needed an ingredient, it would take a lot longer than just reaching for what you have right next to you. In the same way, if a program frequently encounters page faults, it loses precious time accessing data from slower storage, much like you would lose time going back and forth to the pantry.
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So therefore, a lot of effort has gone into trying to reduce misses. So, what are the kinds of efforts that has gone into? Now the first one is that the page size that we decide like we have to decide what should be the size of a block of cache. Similarly we have to decide what should be the size of a page. Now page sizes should be large enough to amortize the high cost of accessing the secondary storage. So, once I access the secondary storage I need to need to bring a lot of data together to maximize locality of reference as much as possible.
To minimize page faults, various strategies have been implemented, primarily focusing on page size. A larger page size means more data is fetched at once when a page is loaded from secondary storage, thereby improving efficiency. The goal is to load common data together, maximizing chances that subsequent data requests will not result in page faults, as they are likely contained within the already loaded page. This strategy takes advantage of the assumption that many memory accesses are localized, or that programs tend to access data close to what they previously accessed.
Consider packing for a trip. If you only take one or two items from your closet (small page size), you might have to keep going back to get more items you might need later. Instead, if you packed a whole outfit each time (larger page size), you are more likely to have what you need without extra trips. Likewise, by fetching larger pages of data, the system reduces the number of times it needs to access secondary storage, leading to better performance.
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However, for embedded systems page sizes are typically lower of the order of 1 KB. This is this is one reason for this is that it could be that embedded systems are resource constrained. So, their memories are lower and bigger the page sizes bigger becomes the internal fragmentation of the last page.
For embedded systems, which often have limited memory resources, a smaller page size (around 1 KB) is preferred. This minimization helps to reduce internal fragmentation, which occurs when the last page allocated does not utilize all of its space. For example, if an application needs 18 KB of memory, allocating 4 KB pages would waste 2 KB in the last page, leading to inefficient use of memory. Thus, smaller page sizes can help manage memory usage more efficiently in resource-constrained environments.
Imagine packing a suitcase with limited space. If the suitcase has a fixed size compartment and you only have a few small items, a large packing box would leave lots of empty spaces—much like having a large page size with unused memory. Utilizing smaller compartments ensures that you pack more efficiently, similar to how smaller page sizes optimize memory usage in embedded systems.
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Organizations that reduce page fault rates are also attractive. So CPU system organizations that reduce page fault rates are also attractive in virtual memory managed systems. So, virtual memories are typically use fully associative placement of pages in main memory.
To decrease the frequency of page faults, system architectures in virtual memory environments often employ fully associative placement of pages. This method allows any virtual page to map to any physical page frame, improving flexibility in memory management. The advantage lies in reducing page fault rates, as programs can efficiently find space for their data without being constrained by fixed physical addresses. However, this approach can be more complex and costly in hardware requirements.
Consider a busy restaurant where tables can be assigned to guests without strict seating arrangements (fully associative). This flexibility allows the restaurant to accommodate more guests (data) efficiently, as any available table (physical memory) can be used for any group (virtual page). This dynamic seating arrangement leads to a better overall experience by minimizing wait times, similar to how flexible page placements reduce page fault occurrences.
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Hence the fully associative placement of pages in memory are preferred for virtual memories and page faults are handled by the OS code, and not hardware. Now why is this so? Because so this is being done in software. So, again this will be more costly as compared to hardware; however, because page faults are very expensive compared to that this the compared to that handling page faults in software is much lower in cost.
Unlike hardware solutions that can be expensive, handling page faults is often performed through operating system (OS) software. This approach, while potentially slower, is more cost-effective in managing memory. The OS can implement various algorithms to determine how to manage pages and reduce page faults efficiently, optimizing overall performance while avoiding high costs associated with hardware modifications.
Think of an emergency helpdesk (software) that provides answers to customer inquiries rather than building a new, expensive service center (hardware). While the helpdesk might take longer to respond, it is more flexible and lower-cost, adapting to various customer needs (page faults). The OS serves as this helpdesk, finding ways to solve issues related to page faults without the need for costly hardware improvements.
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And obviously, the last point here says that write back caches are sorry write back mechanism is used for in virtual memories and not write through which means that suppose when I write on to a physical memory I don’t write to the to the corresponding location in virtual memory or the secondary storage. I use a write back scheme because if I go on each time I write into physical memory if I have to write into secondary storage it will be hugely costly as we understand.
The write-back mechanism helps manage how data is written in virtual memory systems. Instead of immediately updating secondary storage (such as a hard drive or SSD) whenever data is written to physical memory, modifications are stored temporarily in RAM. This approach reduces frequent writes to slower storage, thus enhancing performance. The data is only written back to secondary storage when the page is evicted from memory, making the process efficient and minimizing access costs.
Imagine a painter who keeps brushes and colors in a toolbox (physical memory). Instead of cleaning brushes after every stroke (writing back to storage), the painter waits until the painting session is over to clean them all at once (write-back mechanism). This not only saves time but also makes painting (data processing) more efficient. In the same way, the write-back technique allows virtual memory systems to operate faster by minimizing unnecessary writes to secondary storage.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Page Fault: Occurs when trying to access a virtual page that is not in physical memory.
Costs of Page Faults: Accessing secondary storage can take millions of nanoseconds, compared to mere nanoseconds for main memory access, leading to significant delays.
Optimal Page Sizes: Choosing larger page sizes (commonly 4KB to 64KB) helps amortize the costs of accessing secondary storage by maximizing the amount of data retrieved in one request. Conversely, embedded systems often employ smaller pages (around 1KB) to mitigate internal fragmentation due to constraints on memory size.
Associative Memory: Fully associative placement is beneficial in reducing page fault rates because it allows any virtual page to be mapped to any physical page frame, although it can increase search times.
Page Tables: Utilize data structures that map virtual page numbers to physical page frame numbers, with additional bits for status (such as valid, reference, and dirty bits). These tables are significant in managing memory effectively and efficiently addressing faults.
Write-Back Mechanism: Used in virtual memory systems to delay writing data back to secondary storage until it's necessary (e.g., when the page is evicted).
Understanding page faults and the mechanisms to manage them is crucial for operating systems, affecting both performance and resource allocation.
See how the concepts apply in real-world scenarios to understand their practical implications.
Accessing a virtual address that results in a fault will trigger the page fault service routine to fetch the required page from disk.
Choosing a larger page size like 16KB will reduce the number of page faults by maximizing data fetched in a single disk operation.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
If the data's not in sight, a page fault’s out of sight, fetch it from the disk, and make your memory bright.
Imagine you are a librarian, and the book someone wants is not on the shelf; you need to fetch it from the storage room. Each time a reader asks for a book that isn’t on the shelf, they must wait, just as programs wait for missing pages.
Remember 'PETS' - Page, Entry, Table, Size. These concepts help you think about memory management.
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Review the Definitions for terms.
Term: Page Fault
Definition:
An event that occurs when a program accesses a page that is not currently found in the physical memory.
Term: Page Table
Definition:
A data structure used to map virtual page numbers to physical page frame numbers in memory.
Term: Dirty Bit
Definition:
A bit that indicates whether a page has been modified and needs to be written back to the storage.
Term: Page Size
Definition:
The amount of data that is transferred in a single page from secondary storage to physical memory.
Term: Internal Fragmentation
Definition:
Wasted space within a memory page that is not utilized when a page of memory is not completely filled by application data.