What is Fragmentation in Operating System

When we work on computers, we may use various applications and programs through browsers that occupy some of the RAM. The storage is usually prone to memory fragmentation in OS, which can slow down performance and make it difficult to load new programs. In this blog, we will explore what fragmentation is, its types in OS, and how operating systems manage memory efficiently to minimize its impact.

Table of Contents:

• What is Fragmentation in OS?
• Memory Management Fundamentals
• Contiguous Memory Allocation Explained
• Common Causes Behind Fragmentations in OS
• Types of Fragmentation in OS
• How to Reduce Fragmentation in OS
• Impacts and Drawbacks of Fragmentation in OS
• Fragmentation in Windows vs Linux
• Conclusion

What is Fragmentation in OS?

Fragmentation in an OS is a state where the available memory is split into smaller, non-contiguous areas, which can make it more difficult to allocate a large, continuous piece of memory to a normally sized process. Even if there is sufficient total free memory, this free memory is rendered unusable because it is not arranged in the same location in memory.

Every time an application is run and closed, memory is allocated and freed in a non-structured way. Over time, this creates many small gaps between pieces of memory, and the OS can’t always combine them to create one contiguous block. Therefore, large programs may fail to load properly, and many will not function correctly within the OS.

Imagine you have several small gaps in your bookshelf. Although you still have free space overall, you can’t fit a thick book because the space isn’t continuous. That’s exactly what happens in memory fragmentation -free space exists, but it’s too fragmented to be used effectively.

Memory Management Fundamentals

Memory partitioning is the process of dividing the memory into smaller parts. These partitions enable you to organize the storage of programs and processes in memory. Partitioning is one of the main methods used in memory management to utilize the memory space provided by the computer efficiently and prevent programs from overlapping.

There are two main types of memory partitioning: Fixed Partitioning and Dynamic Partitioning. Let us understand each one by one.

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1. Fixed Partitioning

In fixed partitioning, memory is divided into predefined blocks at system startup. Each block can hold only one program, and the size of the blocks remains constant throughout the life of the operating system.

Fix Partitioning Advantages:

• Simple implementation: Easy to design and implement in the operating system.
• Fast allocation: Because the partitions are predefined, memory allocation is fast.
• Low overhead: There is less processing overhead to manage memory blocks.
• Memory management is predictable: The allocation and usage of memory are more predictable.

Fixed Partitioning disadvantage:

• Internal Fragmentation: If a program is smaller than its partition, then there can be a waste of memory.
• Limited Program Size: If a program is too large, then it will not fit in any partition.
• Inefficient Use of RAM: If partitions are poorly allocated, then not all memory may be used.
• Inflexibility: Being fixed makes it tough to adapt to various workloads/program sizes.

2. Dynamic Partitioning

Dynamic partitioning allocates memory blocks based on the actual size of each program, creating a block that fits its requirements exactly.

Advantages of Dynamic Partitioning:

• Better memory utilization: Blocks match program sizes, which leads to less internal fragmentation.
• Flexible Allocation: Programs of various sizes will be better supported.
• No Unused Partition Space: Unused memory can be utilized for future programs.
• Room for Large Programs: Programs are not limited by predefined block sizes.

Dynamic Partitioning Disadvantages:

• External Fragmentation: Small gaps can exist between blocks that are allocated.
• Slow Allocation: Finding a suitable block will take time.
• Management Complexity: The operating system must manage allocations and gaps in free space.
• Compaction Overhead: The OS will spend time periodically rearranging memory that may be required to reduce fragmentation.

Contiguous Memory Allocation Explained

One of the methods for storing programs in memory is called Contiguous Memory Allocation. In this method, each program must reside in a single continuous block in memory. This means the OS has to find a single unbroken section of RAM that is big enough to hold the entire continuous block of allocated memory. The OS attempts to load up every program in a continuous block by not breaking any program up or loading only a part of the program in memory at any one time. This makes it easier to load the program as a whole into memory, but consequently leads to memory problems in the long run.

Common Problem: Fragmentation

As programs are loaded and unloaded, small pockets of free memory can result between allocated sections. This leads to fragmentation, where there may be enough total memory available, but not enough contiguous space available to load a new program.

To address the fragmentation, the OS may use

• Compaction: Moving programs in memory so that the free space is grouped.
• Paging and Segmentation: More advanced techniques where programs are broken down into small parts, which can be stored non-contiguously. (This is dealt with in more advanced memory management.)

Common Causes Behind Fragmentation in OS

As explained earlier, fragmentation occurs when free memory is broken up into small, unusable chunks that the system cannot allocate to a new program. While the total free memory may be available to the program, if the free memory is scattered, it will not be usable.

Fragmentation as a Result of Allocation and Deallocation

When programs are frequently allocated and deallocated, they leave gaps or holes in memory, which worsen over time. Those holes or gaps will become small enough that they become unusable, resulting in fragmentation. The more often programs are loaded and deallocated from memory, the more fragmentation in the memory there will be.

Types of Fragmentation in OS

Let’s explore different types of fragmentation in an operating system:

1. Internal Fragmentation

Internal fragmentation occurs when memory is segmented into fixed-size memory blocks, where the program does not fully use the whole space, which means wasted space inside of the block.

Advantages of Internal Fragmentation:

• Easy and fast memory allocation due to fixed-size blocks.
• Predictable memory layout simplifies OS management.
• Quick memory access because of uniform block sizes.

Disadvantages of Internal Fragmentation:

• Wastes memory inside allocated blocks that cannot be reused.
• Reduces overall usable memory, affecting system performance.
• Makes memory utilization less efficient for varying program sizes.

Dealing with Internal Fragmentation

• Use dynamic memory partitioning instead of static partitioning.
• Try to choose a block size according to the average size of the program.
• Utilize paging, where memory is broken into equally sized small pieces with little internal wastage.
• Examine application memory use to better match memory allocations.

2. External Fragmentation

External Fragmentation becomes an issue when, over time, pieces of free memory become small, and, therefore, the fragmentation in memory occurs. Even if you have enough free memory overall, it cannot be used because there is no contiguous piece large enough to fill the request.

Advantages of External Fragmentation:

• Flexible memory allocation supports programs of various sizes.
• Initially efficient for large allocations.
• Avoids internal waste inside allocated blocks.

Disadvantages of External Fragmentation:

• Free memory becomes unusable without contiguous blocks.
• Frequent compaction or rearrangement reduces performance.
• Memory allocation slows as OS searches for suitable gaps.

How to Remove External Fragmentation

• Compaction: Move programs that are in memory so that free blocks are together in one space.
• Segmentation: Programs are comprised of logical segments that can fit into a gap at different locations in memory.
• Paging: Programs are assigned to fixed-size pages, so it avoids the need for them to be in continuous blocks.
• More Efficient Allocation Algorithms: Apply allocation algorithms that extract fragmentation internally or externally to reduce the fragmentation. Use first-fit, best-fit, and worst-fit techniques.

3. Data Fragmentation

Data fragmentation takes place when similar data is stored in separate, non-contiguous locations, often in secondary storage (such as a hard disk or database), making access to that data slow since the user would need to jump between locations to access each bit of the full data.

Advantages of Data Fragmentation:

• Efficient disk utilization by using small free spaces.
• Faster initial write operations without requiring a large contiguous space.
• Enables parallel access in distributed systems.

Cons to Data Fragmentation:

• Slower data access due to non-contiguous storage.
• Increases disk I/O, which causes higher latency.
• Complicates data management and reduces performance on large datasets.

How to Prevent Data Fragmentation

• Use Defragmentation Tools: Run system tools to rearrange files into a contiguous set of disk space.
• Optimize Database: Rebuild indexes or compact stored data.
• Feasible Storage: Using techniques such as clustering or caching can help.
• Good Practices: Practice regular maintenance and schedule cleaning tasks regularly, which can help reduce data fragmentation over time.

How to Reduce Fragmentation in OS

Now let’s discuss the various techniques for handling and preventing fragmentation:

1. Compaction (Defragmentation)

Compaction involves the OS moving programs in memory to put all scattered free space back together in one block of space. This is a way to eliminate external fragmentation.

Advantages:

• Maximizes Free Space: Combines small gaps of free space into one block that can be used.
• Increases the Chance of Successful Allocation: It can be easier to fit large programs into memory.
• Simple concept: Easy to understand and visualize.
• Better Use of Memory: Frees up contiguous space.

Disadvantages:

• Time-Consuming: Involves moving a lot of data from one location to another.
• CPU Overhead: Uses processing power (CPU) during compaction.
• Breaks Program Execution: Certain programs may have to stop.
• Temporary: Continued use will lead to fragmentation again.

2. Paging

Paging partitions memory and programs into small, fixed units called pages (memory) and frames (programs). These units of memory can exist within memory non-contiguously.

Advantages:

• Reduces External Fragmentation: Programs stored in non-contiguous memory locations.
• Increased, More Efficient Memory Usage: Memory only holds necessary pages.
• Faster Memory Allocation: No search for unbroken larger blocks of memory.
• Simplifies memory management from complexity: Units of memory are the same size, making it easier for the OS to track.

Disadvantages:

• Internal Fragmentation: The last page or frame may not be used.
• Overhead from Page Tables: Managing logical-address to physical-address mapping means an overriding need for storage to keep the mapping.
• Page Faults: Accessing unloaded pages tends to slow the entire system down.
• Complex Address Translation: This involves translating logical addresses into physical addresses.

3. Segmentation

In segmentation, memory is divided into chunks of variable size according to logical divisions in the program (functions, arrays, etc.). Each segment exists separately.

Advantages:

• Logical Organization: Aligns with the way programmers organize code.
• Flexible Allocation: Allocates segments of different sizes to fill memory gaps.
• Easier Sharing, Easier Protection: Segments can have different permissions.
• Support for Modular Programs: Easier to manage code and data.

Disadvantages:

• External Fragmentation: Variable size of segments means that there will be gaps between segments.
• Complex Management: It requires segment tables and mapping
• Difficult to Compact: Segments vary in size, the same way that physical pages vary, so moving sizes will always be tricky.

4. Paging with Virtual Memory

Virtual memory is an extension of paging with the use of virtual memory that allows programs to use more memory than is physically present by getting the data written to disk on a temporary basis.

Advantages:

• Run bigger programs: Even though you may have a small physical memory. This supports doing intensive work programs on systems with basic RAM.
• Better Multitasking: Handle multiple programs smoothly. Each of the programs has a Virtual Memory space and does not interfere with the others.
• Efficient use of RAM: Only the active pages are in memory; the inactive ones are written away (swapped). With virtual memory, RAM is only used for the important memory and currently needed references.
• Automatic memory management: Memory management is handled automatically by the operating system. Reduce manual configuration and improve how memory is handled and managed in your system.

Disadvantages:

• Slow access: Disk access is much slower than memory access, and swapping is slow. Swapping pages out is often slower than when the memory is simply accessed directly.
• Thrashing: The computer can be frozen with multiple pages swapped out. When a system spends more time swapping and taking pages back and forth than executing any tasks, it becomes “thrashing”.
• Page fault overhead: If there are too many page faults in a program, it can slow execution. If a page fault occurs, there will be an interruption of processes, and it will stop responsiveness when it is accessing the disk to load the information back into memory.
• Disk dependent: Virtual Memory and any paging look to optimize the disk IO path as fast as the memory. A slow disk that is in use or overloaded will certainly slow down any system, since disk access is much slower than memory access.

5. Buddy System

The buddy system allocates memory in powers of two (examples: 2 KB, 4 KB, 8 KB, etc.). If the data or program requires a bigger block than is available, we split the buddy and then allocate one of the halves.

Advantages:

• Efficient Allocation & Deallocation: It’s easy to split and merge blocks of memory. Memory management happens quickly when an executable program is running.
• Fast Search: The power-of-two structure allows for easier accessibility. Minimal lag in locating and allocating memory blocks.
• Reduces Fragmentation: When we merge buddies, we can reclaim space in memory. It allows space that was once used to be put back to work.
• Straightforward Implementation: It is easy to write and control. It is ideal for embedded systems and low-level OS memory management.

Disadvantages:

• Internal Fragmentation: The system may give you more memory than you need. The unused memory in the memory block cannot be used elsewhere.
• Space Consistency: The buddy system will have generally had consistent memory allocations. Some applications may require sizes that do not fit neatly into the buddy model.
• Wasted Memory: The system may set aside much more memory than your program will ever use.

Impacts and Drawbacks of Fragmentation in OS

Fragmentation can significantly influence how a system operates, affecting efficiency, reliability, and resource utilization. Key consequences include:

• Increased Management Overhead: As fragmentation grows, the operating system requires more effort to track memory allocations and gaps. Maintenance tasks like compaction, defragmentation, or memory monitoring become necessary, increasing administrative and system complexity.
• Resource Strain and Higher CPU Usage: Searching for suitable memory blocks, rearranging memory, and handling fragmented allocations put additional strain on system resources, increasing CPU workload and potentially slowing down other operations.
• Impaired Application Performance: Applications that require large continuous memory blocks, such as databases or multimedia software, may experience delays, runtime errors, or inefficient operation. Fragmentation can limit optimal use of both RAM and storage resources, reducing overall system responsiveness.
• Long-Term Efficiency and Hardware Impact: Fragmentation can cause systems to rely more on slower storage or virtual memory, increasing energy consumption and causing wear on hardware over time. Over time, this can reduce system longevity and efficiency.

Fragmentation in Windows vs Linux

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Conclusion

In this blog, we have learned about fragmentation in an operating system that uses memory inefficiently and performs worse overall. Techniques like paging, segmentation, and compaction can help reduce internal and external fragmentation, despite the fact that they are common. Better performance and more effective use of resources are guaranteed by proper memory management.

Fragmentation in Operating Systems – FAQs