Memory allocation for real time operating system

Memory Allocation for Real Time
Operating System
Eng. Asma’a Lafi
1

Memory allocation
• Reserving memory moment to moment, as
needed, without having to reserve a fixed
amount ahead of time. Modern operating
systems perform dynamic memory allocation
for their own use. They may also perform the
same operation for their applications, or they
may include programming interface functions
(APIs such as malloc) that allow the
applications to allocate and de-allocate
memory as needed.
2

Memory allocation in RTOS
• Real time operating system uses different
memory allocation strategies and algorithm that
are used in order to improve the performance of
the intended system.
• Basically two types of memory allocation are
provided in RTOS stack and heap. The stack
allocation is used during context switching for
Task Control Blocks while heap allocation deals
with memory other than memory used for
program code and it is used for dynamic
allocation of data space for tasks. Allocation of
this memory is called heap allocation.
3

Memory allocation in RTOS (cont’d)
• Real time operating system
supports static and dynamic
memory allocation
Static memory
allocation
Dynamic memory
allocation
Memory is
allocated at
compile or design
time
Memory is
allocated at run
time
Memory allocation
is a deterministic
process that
means memory
allocation already
known
Requires memory
manager to keep
track which
memory are used
and which are not
No memory
allocation or
deallocation
actions are
performed during
execution
Memory allocation
is established and
destroyed during
the execution
4

Classification of Memory Allocation
Techniques.
5

Manual memory Allocation
• In manual memory allocation, the programmer has
direct control on process of memory is allocated
and recycling. Usually this is either by explicit
calls to heap allocation functions or by language
constructs that affect the stack.
• Advantage:
Manual memory allocation is easier for
programmers to understand and use.
• Disadvantage:
Memory allocation bugs are common when manual
memory allocation is used.
6

Automatic Memory Allocation
• Automatic memory allocation, usually do their job by
recycling blocks that are unreachable from program
variables.
• Advantage:
Automatic memory allocation eliminates most memory
allocation bugs.
• Disadvantage:
Sometimes automatic memory managers fail to deallocate
unused memory locations causing memory leaks.
Automatic memory mangers usually consume a great
amount of the CPU time and usually have nondeterministic
behavior.
7

DYNAMIC MEMORY ALLOCATION ALGORITHMS
Sequential Fit
Sequential fit is the most basic algorithm which uses a single linear list
of all free memory blocks called a free list. Free blocks are allocated
from this list in one of four ways :
 First fit: the list is searched from the beginning, returning the first
block large enough to satisfy the request
 Next fit: the list is searched from the place where the last search left
off, returning the next block large enough to satisfy the request
 Best fit: the list is searched exhaustively, returning the smallest block
large enough to satisfy the request.
 Worst fit : the list is searched; returning largest available free block .
8

DYNAMIC MEMORY ALLOCATION ALGORITHMS (cont’d)
• Sequential Fit
Advantage:
Simple to understand and easy to apply.
Disadvantage:
As memory available for allocation becomes large, the search
time becomes large and in the worst case can be proportional to
the memory size.
As the free list becomes large, the memory used to store the
free list becomes large; hence the memory overhead becomes
large
Sequential Fit is not a good strategy for RTSs because it is
based on a sequential search, whose cost depends on the number
of existing free blocks.
9

• Buddy allocator
A buddy allocator uses an array of free lists, one for each
allowable block size.
The buddy allocator rounds up the requested size to an
allowable size and allocates from the corresponding free
list. If the free list is empty, a larger block from another
free list is selected and split.
A block may only be split into a pair of buddies (of the
same size in case of binary buddy system).
A block may be coalesced only with its buddy, and this is
possible only if the buddy has not been split into smaller
blocks.
10

• Buddy allocator
Advantage:
The advantage of a buddy system is that the
buddy of a block being freed can be quickly found
by a simple address computation.
Disadvantage:
The disadvantage of a buddy system is that the
restricted set of block sizes leads to high
internal fragmentation, as does the limited ability
to coalesce.
11

Indexed Fit
Indexed fits are a class of allocation
mechanisms that use an indexing data
structure, such as a tree or hash table, to
identify suitable free blocks, according to the
allocation policy.
Advantage
This strategy is based on the use of advanced
structures to index the free memory blocks
thus provide better performance.
12

Bitmapped Fit
Bitmapped Fits are a class of allocation
mechanisms that use a bitmap to represent
the usage of the heap. Each bit in the map
corresponds to a part of the heap, typically a
word, and is set if that part is in use.
Advantage:
In Bitmapped Fit mechanism, the search time
is proportional to the bitmap size which result
in a small memory overhead.
13

Two Level Segregated Fit (TLSF)
 Two level segregated fit solves the problem of the worst case
bound maintaining the efficiency of the allocation and
deallocation operations allows the reasonable use of dynamic
memory allocation in real-time applications.
 provides explicit allocation and deallocation of memory. There
exists an increasing number of emerging applications using high
amounts of memory, such as multimedia systems, video
streaming.
 In order to meet these constraints and requirements, two level
segregated fit has been designed with guidelines like immediate
merging, splitting threshold for optimizes the memory usage
which tends to produce the lowest fragmentation on real
workloads.
14

• Two Level Segregated Fit (TLSF)
 To implement a good-fit strategy two level segregated fit
algorithm uses a segregated fit mechanism. The basic
segregated fit mechanism uses an array of free lists, with each
array holding free blocks within a size class.
 In order to speed up the access to the free blocks and also to
manage a large set of segregated lists (to reduce
fragmentation) the array of lists has been organized as a two-
level array.
 The first-level array divides free blocks in classes that are a
power of two apart and the second-level sub-divides each first-
level class linearly, where the number of divisions can be
determined by the user. Each array of lists has an associated
bitmap used to mark which lists are empty and which ones
contain free blocks.
15

Smart Memory Allocator
Smart Dynamic Memory Allocator is a new allocation
style which allows designing a custom dynamic
memory allocation mechanism with reduced memory
fragmentation and response time.
In this algorithm memory blocks is divided into to
types: Long lived block and Short lived block.
Directions of growing of heap is different for both
types of memory blocks. The short lived allocated
from bottom to top while the long lived block
allocated from top to bottom.
16

Smart Memory Allocator
 A new smart dynamic memory allocator particularly for embedded
systems have limited memory and processing power.
 The smart allocator predict the short-lived objects and allocates those
objects on one side of the heap memory and remaining objects on other
side of the heap memory for effective use of memory footprint.
 The allocator reduces the memory fragmentation by using directional
adaptive allocation based on the predicted object lifetimes the lifetime
can be predicted using a mixture of block size and the number of
allocation events.
 The allocator is implemented with improved multilevel segregated
mechanism by means of lookup tables and hierarchical bitmaps that
guarantee very good response time and dependable timing performance.
17

Comparison between Different
Memory Allocation Algorithms
parameters
fragmentation Memory
footprint usage
Response time
Sequential fit Large Maximum Slow
Buddy System large Maximum Fast
Indexed fit large Maximum Fast
Bitmapped fit Large maximum Fast
TLSF Small Minimum Faster
Smart Memory
Allocator
reduce Minimum The fastest
18

CONCLUSION
• Dynamic memory allocation is used in many
real-time systems. In such systems there are
a lot of objects, which are referenced by
different threads.
• There are different memory allocation
algorithms are available.
• The major challenges of memory allocator are
minimizing fragmentation, providing a good
response time, and maintaining a good locality
among the memory blocks.
19

Memory allocation for real time operating system

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Memory allocation for real time operating system