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   Introduction
   Why Buddy System
   About Buddy System
   Types of Buddy System
   Implementation in Linux
   Pros and Cons
   Conclusion
   According to Donald Knuth, the buddy system was
    invented in 1963 by Harry Markowitz, who won the
    1990 Nobel Memorial Prize in Economics.
   It    was     first described    by    Kenneth       C.
    Knowlton(published 1965).
   Now a days Linux uses the buddy system to manage
    allocation of memory, possibly because it is allocating
    many structures which are already powers of two, like
    frames.
   The buddy memory allocation technique is a memory
    allocation algorithm that divides memory into partitions to
    try to satisfy a memory request as suitably as possible.
   This system makes use of splitting memory into halves to
    try to give a best-fit.
   Compared to the more complex memory allocation
    techniques that some modern operating systems use, buddy
    memory allocation is relatively easy to implement.
   It supports limited but efficient splitting and coalescing of
    memory blocks.
   A fixed partitioning scheme limits the number of
    active processes and may use space inefficiently if
    there is a poor match between available partition size
    and process size
   A dynamic partitioning scheme is more complex to
    maintain and includes the overhead of compaction.
   An interesting compromise of fixed and dynamic
    partitioning is the buddy system.
   The buddy system(binary) allows a single allocation
    block to be split, to form two blocks half the size of the
    parent block. These two blocks are known as 'buddies'.
    Part of the definition of a 'buddy' is that the buddy of
    block B must be the same size as B, and must be adjacent
    in memory (so that it is possible to merge them later).
   The other important property of buddies, stems from the
    fact that in the buddy system, every block is at an address
    in memory which is exactly divisible by its size.
   So all the 16-byte blocks are at addresses which are
    multiples of 16; all the 64K blocks are at addresses which
    are multiples of 64K... and so on.
   There are number of buddy systems, proposed by
    researcher, which are capable of reducing
    execution time and increase memory utilization.

Four Types of Buddy System
 Binary buddy system
 Fibonacci buddy system
 Weighted buddy system
 Tertiary buddy system
   These three Buddy Systems are similar in the design of
    the algorithm, the major difference is the sizes of the
    memory blocks.
   It also differs in memory utilization and execution
    time.
   In some situations, one buddy system looks good, may
    not be good in other situation.
   It simply lies on the requests for memory which causes
    external and internal fragmentation higher at some
    situations.
   In binary buddy system the memory block of 2m is
    into two equal parts of 2m-1.
   It satisfies the following recurrence relation
                Li = Li-1+ Li-1

                          8


                 4                4


            2         2       2       2
   The memory consists of a collection of blocks of
    consecutive memory, each of which is a power of two
    in size.
   Each block is marked either occupied or
    free, depending on whether it is allocated to the user.
   For each block we also know its size .
   The system provides two operations for supporting
    dynamic memory allocation:
   1. Allocate (2k): Finds a free block of size 2k, marks it
    as occupied, and returns a pointer to it.
   2. Deallocate (B): Marks the previously allocated block
    B as free and may merge it with others to form a larger
    free block.
   The buddy system maintains a list of the free blocks of
    each size (called a free list), so that it is easy to find a
    block of the desired size, if one is available.
    If no block of the requested size is available, Allocate
    searches for the first nonempty list for blocks of at
    least the size requested.
    In either case, a block is removed from the free list.
   This process of finding a large enough free block will
    indeed be the most difficult operation for us to perform
    quickly.
   If the found block is larger than the requested size, say
    2k instead of the desired 2i, then the block is split in
    half, making two blocks of size 2k−1.
    If this is still too large (k − 1 > i),then one of the
    blocks of size 2k−1 is split in half.
   This process is repeated until we have blocks of size
    2k−1, 2k−2, . . . , 2i+1, 2i, and 2i.
   Then one of the blocks of size 2i is marked as occupied
    and returned to the user.
   The others are added to the appropriate free lists.
   Each block B1 was created by splitting another block
    into two halves, call them B1 (Buddy of B2) and
    B2(Buddy of B1).
   Now when a block is deallocated, the buddy system checks
    whether the block can be merged with any others or more
    precisely whether we can undo any splits that were
    performed to make this block.
   The merging process checks whether the buddy of a
    deallocated block is also free, in which case the two blocks are
    merged;
   then it checks whether the buddy of the resulting block is also
    free, in which case they are merged; and so on.
   Thus it is crucial for performance purposes to
    know, given a block address, the size of the block and
    whether it is occupied.
   This is usually done by storing a block header in the
    first few bits of the block.
   More precisely, we use headers in which the first bit is
    the occupied bit , and the remaining bits specify the
    size of the block.
   Eg) To determine whether the buddy of a block is
    free, we compute the buddy’s address, look at the first
    bit at this address, and also check that the two sizes
    match.
Example:
       Let us consider 1-Mbyte of memory is allocated using
Buddy System. Show the Binary tree form and list form for the
following :
               Request 100k(A)
               Request 240k(B)
               Request 64k(C)
               Request 256k(D)
               Release B
               Release A
               Request 75k
               Release C
               Release E
               Release D.
1MB

(A)100   28 128              256                      512

(A)100   28 128              (B)240     16            512

(A)100   28 (C)64     64     (B)240     16            512

(A)100   28 (C)64     64     (B)240     16   (D)256   256

(A)100   28 (C)64     64     256             (D)256   256

128           (C)64   64     256             (D)256   256

(E)75    53   (C)64   64     256             (D)256   256

(E)75    53   128            256             (D)256   256

                           512               (D)256   256

                                            1MB
Unused
                                        memory

                                        Used
                                        memory




A=128   C=64   64   256   D=256   256
   Hirschberg taking Knuth's suggestion has designed a Fibonacci
    buddy system with block sizes which are Fibonacci numbers.
   It satisfies the following recurrence relation :
               Li=Li-1 + Li-2.
   0, 1,1, 2, 3, 5, 8,13, 21, 34, 55, 144, 233,377, 610,
    987, 1597, 2582…
                                   610



                       377                 233



               233           144         144     89
The address calculation for the binary and weighted
 buddy systems is straight forward, but the original
 procedure for the Fibonacci buddy system was either
 limited to a small, fixed number of block sizes or a
 time consuming computation.
Problem:
  Show the results of the following sequence in a
 figure using Fibonacci Buddy system:
 Request 60 (A); Request 135 (B); Request 70 (C);
 Return A; Request 20 (D);Return B; Return C;
 Return D.
377 Byte Block                           377(144+233)
Request 60 (A)    55          A= 89                   233

Request 135 (B)   55          A=89       89           B=144

Request 70 (C)    55          A=89       C=89          B=144

Return A                    144          C=89         B=144

Request 60 (D)    55          D=89       C=89          B=144

Return B               55         D=89   C=89           144

Return D                    144          C=89           144

Return C                                        377
377

144 + 233

(55+89)+ (89+144)

128K

64K
       55   D=89    C=89   144
   In weighted buddy system the memory block of size
    2k+2 is split in 3.(2k ) and 2k sized blocks.
   Further 3.(2k) is split in two 2k+1 and 2k sized blocks.

                                        64


                         48                           16



                32                 16            12            4



          24         8        12         4   8         4   3       1
   In tertiary buddy system blocks of size 2k is split into
    blocks of three different sizes .
   These blocks in turn are split into two different ways
    depending on the size of the blocks to be split .
   Blocks of size 2k are split into three blocks of sizes
    2k-1 ,3.2k-3 and 2k-3 .
   Blocks of size 3. 2k-3 are split into the blocks of sizes
    2k-2 and 2k-3 .
   It decreases the amount of internal fragmentation by
    allowing more block sizes .
   L i = Li   –1   + Li         -3   + Lβ(i)
        ◦ Where β is any function over positive integer with βi
          <i.

                                                    64


                                 32

                                                    24
             16             12            4
                                                                 8
                                               16        8


8       6    2          8        4                           4       3   1
   In LINUX, Buddy System in Contiguous Page Frame Allocation.
   All page frames are grouped into 10 lists of blocks that
    containing groups of 1, 2, 4, 8, 16, 32, 64, 128, 256, and 512
    contiguous page frames, respectively
   The address of the first page frame of a block is a multiple of the
    group size
   For eg, a request for 128 then
   First checks for a free block in the 128 list
   If no free block, it then looks in the 256 list for a free block
    If it finds a block, the kernel allocates 128 of the 256 page
    frames and puts the remaining 128 into the 128 list
    If no block it looks at the next larger list, allocating it and
    dividing the block similarly
    If no block can be allocated an error is reported
    Less external fragmentation.
    Search for a block of the right size is cheaper
    than, best fit because we need only find the first
    available block on the block list for blocks of size 2k;
    Merging adjacent free blocks is easy.
   In buddy systems, the cost to allocate and free a
    block of memory is low compared to that of best-fit
    or first-fit algorithms.
   It allows internal fragmentation.
   For example, a request for 515k will require a block
    of size 1024k. In consequence, such an approach
    gives a waste of 509 k.
   Splitting and merging adjacent areas is a recurrent
    operation and thus very unpredictable and inefficient.
    The another drawback of the buddy system is the
    time required to fragment and coalesce blocks.
Buddy system final

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Buddy system final

  • 1. 1
  • 2. Introduction  Why Buddy System  About Buddy System  Types of Buddy System  Implementation in Linux  Pros and Cons  Conclusion
  • 3. According to Donald Knuth, the buddy system was invented in 1963 by Harry Markowitz, who won the 1990 Nobel Memorial Prize in Economics.  It was first described by Kenneth C. Knowlton(published 1965).  Now a days Linux uses the buddy system to manage allocation of memory, possibly because it is allocating many structures which are already powers of two, like frames.
  • 4. The buddy memory allocation technique is a memory allocation algorithm that divides memory into partitions to try to satisfy a memory request as suitably as possible.  This system makes use of splitting memory into halves to try to give a best-fit.  Compared to the more complex memory allocation techniques that some modern operating systems use, buddy memory allocation is relatively easy to implement.  It supports limited but efficient splitting and coalescing of memory blocks.
  • 5. A fixed partitioning scheme limits the number of active processes and may use space inefficiently if there is a poor match between available partition size and process size  A dynamic partitioning scheme is more complex to maintain and includes the overhead of compaction.  An interesting compromise of fixed and dynamic partitioning is the buddy system.
  • 6. The buddy system(binary) allows a single allocation block to be split, to form two blocks half the size of the parent block. These two blocks are known as 'buddies'.  Part of the definition of a 'buddy' is that the buddy of block B must be the same size as B, and must be adjacent in memory (so that it is possible to merge them later).  The other important property of buddies, stems from the fact that in the buddy system, every block is at an address in memory which is exactly divisible by its size.  So all the 16-byte blocks are at addresses which are multiples of 16; all the 64K blocks are at addresses which are multiples of 64K... and so on.
  • 7. There are number of buddy systems, proposed by researcher, which are capable of reducing execution time and increase memory utilization. Four Types of Buddy System  Binary buddy system  Fibonacci buddy system  Weighted buddy system  Tertiary buddy system
  • 8. These three Buddy Systems are similar in the design of the algorithm, the major difference is the sizes of the memory blocks.  It also differs in memory utilization and execution time.  In some situations, one buddy system looks good, may not be good in other situation.  It simply lies on the requests for memory which causes external and internal fragmentation higher at some situations.
  • 9. In binary buddy system the memory block of 2m is into two equal parts of 2m-1.  It satisfies the following recurrence relation Li = Li-1+ Li-1 8 4 4 2 2 2 2
  • 10. The memory consists of a collection of blocks of consecutive memory, each of which is a power of two in size.  Each block is marked either occupied or free, depending on whether it is allocated to the user.  For each block we also know its size .  The system provides two operations for supporting dynamic memory allocation:  1. Allocate (2k): Finds a free block of size 2k, marks it as occupied, and returns a pointer to it.  2. Deallocate (B): Marks the previously allocated block B as free and may merge it with others to form a larger free block.
  • 11. The buddy system maintains a list of the free blocks of each size (called a free list), so that it is easy to find a block of the desired size, if one is available.  If no block of the requested size is available, Allocate searches for the first nonempty list for blocks of at least the size requested.  In either case, a block is removed from the free list.  This process of finding a large enough free block will indeed be the most difficult operation for us to perform quickly.
  • 12. If the found block is larger than the requested size, say 2k instead of the desired 2i, then the block is split in half, making two blocks of size 2k−1.  If this is still too large (k − 1 > i),then one of the blocks of size 2k−1 is split in half.  This process is repeated until we have blocks of size 2k−1, 2k−2, . . . , 2i+1, 2i, and 2i.  Then one of the blocks of size 2i is marked as occupied and returned to the user.  The others are added to the appropriate free lists.  Each block B1 was created by splitting another block into two halves, call them B1 (Buddy of B2) and B2(Buddy of B1).
  • 13. Now when a block is deallocated, the buddy system checks whether the block can be merged with any others or more precisely whether we can undo any splits that were performed to make this block.  The merging process checks whether the buddy of a deallocated block is also free, in which case the two blocks are merged;  then it checks whether the buddy of the resulting block is also free, in which case they are merged; and so on.
  • 14. Thus it is crucial for performance purposes to know, given a block address, the size of the block and whether it is occupied.  This is usually done by storing a block header in the first few bits of the block.  More precisely, we use headers in which the first bit is the occupied bit , and the remaining bits specify the size of the block.  Eg) To determine whether the buddy of a block is free, we compute the buddy’s address, look at the first bit at this address, and also check that the two sizes match.
  • 15. Example: Let us consider 1-Mbyte of memory is allocated using Buddy System. Show the Binary tree form and list form for the following : Request 100k(A) Request 240k(B) Request 64k(C) Request 256k(D) Release B Release A Request 75k Release C Release E Release D.
  • 16. 1MB (A)100 28 128 256 512 (A)100 28 128 (B)240 16 512 (A)100 28 (C)64 64 (B)240 16 512 (A)100 28 (C)64 64 (B)240 16 (D)256 256 (A)100 28 (C)64 64 256 (D)256 256 128 (C)64 64 256 (D)256 256 (E)75 53 (C)64 64 256 (D)256 256 (E)75 53 128 256 (D)256 256 512 (D)256 256 1MB
  • 17. Unused memory Used memory A=128 C=64 64 256 D=256 256
  • 18. Hirschberg taking Knuth's suggestion has designed a Fibonacci buddy system with block sizes which are Fibonacci numbers.  It satisfies the following recurrence relation : Li=Li-1 + Li-2.  0, 1,1, 2, 3, 5, 8,13, 21, 34, 55, 144, 233,377, 610, 987, 1597, 2582… 610 377 233 233 144 144 89
  • 19. The address calculation for the binary and weighted buddy systems is straight forward, but the original procedure for the Fibonacci buddy system was either limited to a small, fixed number of block sizes or a time consuming computation. Problem: Show the results of the following sequence in a figure using Fibonacci Buddy system: Request 60 (A); Request 135 (B); Request 70 (C); Return A; Request 20 (D);Return B; Return C; Return D.
  • 20. 377 Byte Block 377(144+233) Request 60 (A) 55 A= 89 233 Request 135 (B) 55 A=89 89 B=144 Request 70 (C) 55 A=89 C=89 B=144 Return A 144 C=89 B=144 Request 60 (D) 55 D=89 C=89 B=144 Return B 55 D=89 C=89 144 Return D 144 C=89 144 Return C 377
  • 21. 377 144 + 233 (55+89)+ (89+144) 128K 64K 55 D=89 C=89 144
  • 22. In weighted buddy system the memory block of size 2k+2 is split in 3.(2k ) and 2k sized blocks.  Further 3.(2k) is split in two 2k+1 and 2k sized blocks. 64 48 16 32 16 12 4 24 8 12 4 8 4 3 1
  • 23. In tertiary buddy system blocks of size 2k is split into blocks of three different sizes .  These blocks in turn are split into two different ways depending on the size of the blocks to be split .  Blocks of size 2k are split into three blocks of sizes 2k-1 ,3.2k-3 and 2k-3 .  Blocks of size 3. 2k-3 are split into the blocks of sizes 2k-2 and 2k-3 .  It decreases the amount of internal fragmentation by allowing more block sizes .
  • 24. L i = Li –1 + Li -3 + Lβ(i) ◦ Where β is any function over positive integer with βi <i. 64 32 24 16 12 4 8 16 8 8 6 2 8 4 4 3 1
  • 25. In LINUX, Buddy System in Contiguous Page Frame Allocation.  All page frames are grouped into 10 lists of blocks that containing groups of 1, 2, 4, 8, 16, 32, 64, 128, 256, and 512 contiguous page frames, respectively  The address of the first page frame of a block is a multiple of the group size  For eg, a request for 128 then  First checks for a free block in the 128 list  If no free block, it then looks in the 256 list for a free block  If it finds a block, the kernel allocates 128 of the 256 page frames and puts the remaining 128 into the 128 list  If no block it looks at the next larger list, allocating it and dividing the block similarly  If no block can be allocated an error is reported
  • 26. Less external fragmentation.  Search for a block of the right size is cheaper than, best fit because we need only find the first available block on the block list for blocks of size 2k;  Merging adjacent free blocks is easy.  In buddy systems, the cost to allocate and free a block of memory is low compared to that of best-fit or first-fit algorithms.
  • 27. It allows internal fragmentation.  For example, a request for 515k will require a block of size 1024k. In consequence, such an approach gives a waste of 509 k.  Splitting and merging adjacent areas is a recurrent operation and thus very unpredictable and inefficient.  The another drawback of the buddy system is the time required to fragment and coalesce blocks.