What are five key assumptions in dynamic channel allocation?

Putting the available bandwidth in operation of the cellular telephone system to efficient use is an important problem to be considered for providing good service to the largest number of customers possible. The problem has gained a critical status owing to the rapid growth of the cellular telephones users. 

- A communication channel is nothing but a band of frequencies which a number of users can use simultaneously if they are residing far apart from each other. 

- There is a minimum distance at which no interference occurs between the users and it is known as the channel reuse constraint. 

- A cellular telephone system divides the service area in to a number of regions commonly known as the cells. 

- Each of the cells has its own base station for handling the calls concerned with that cell. 

- The bandwidth of the communication channel is partitioned in to many channels permanently. 

- The cells are then allocated these channels in such a way that the channel reuse constraint is not violated by the calls. 

- There are a number of ways for allocating the channels. 

- Few of them are better than the others when it comes to reliably making channels available to all the cells. 

Few examples of channel allocation methods are:

1. Fixed assignment method
2. Dynamic allocation method
3. Reinforcement learning method

About Dynamic Method Allocation

- One type of dynamic method allocation is the BDCL or the borrowing with directional channel locking. 

- Out of all the above mentioned channel allocation methods, the dynamic allocation is considered the best one according to some studies conducted. 

- It is somewhat of the heuristic kind. 

- In dynamic allocation, the channels are allocated in the same way as in the fixed assignment method but it permits borrowing channels from the other cells whenever required. 

- It then arranges those channels in a specific order in each of the cells and this ordering is used in determining the channels for borrowing and reassigning the calls dynamically within the cells.

- There are static allocation techniques also but those don’t seem to work as well as the dynamic allocation techniques. 

In dynamic channel allocation 5 assumptions are always made which we have discussed below:

Station model: 

- There are N independent stations in the model and one frame is generated by each of the stations one at a time. 

- It is blocked until the successful transmission of the previous frame. 

- This means a station cannot queue multiple frames for transmission. 

- For example, a transmission gap of 100 bits is required during the transmission of the consecutive frames.

Single channel assumption:  

- The same medium is shared by all the stations. 

- Through it all the stations can receive and transmit.

Collision assumption: 

- A collision occurs whenever at the same time two frames are transmitted. 

- The two frames that collide have to be re-transmitted.

Transmission model: 

- There are 2 types namely, the continuous time model and the slotted time model. 

- In the former type transmission can be started at any given time. 

- In the latter model, transmission starts with a time slot.

Carrier sense: 

- It can also be classified in to 2 categories namely carrier sense and no carrier sense. 

- Stations can know if a channel is occupied prior to using it. This is called carrier sense.

- In no carrier sense, the stations cannot know whether the channel is occupied or not before transmission.

- Also, it gets difficult for the dynamic allocation method for setting up the favorable usage patterns as the calls start saturating the system. 

Explain the single and multiple partition techniques?

There are a number of allocation techniques available and all have different properties and allocate memory based on different principles. One prominent type of allocation is the partitioned allocation. 

- In partitioned allocation the primary or the main memory of the system is divided into a number of contiguous memory blocks which are commonly known as the memory partitions. 

- Each of these partitions consists of all the information that might be required for carrying out a specific task. 

- The task of allocating these memory partitions to various jobs and processes and de-allocating them after use is the duty of the memory management unit.  

- But partitioned allocation cannot be carried out by the help of software alone. 

- It requires some hardware support. 

- This support prevents interference of the various jobs in to each other and with the operating system as well. 

- For example, a lock and key technique was used by the IBM system/ 360. 

- Some other systems made use of the registers called the base and bound registers containing the partition limits and these were also used for flagging if any invalid access was made. 

- Limits register was used by the UNIVAC 1108 having separate base and bound data and instructions. 

- A technique called the memory interleaving was used by this system for placing so called I banks and d banks in different memory modules. 

Partitions are of two types namely:

Ø  Static partitions: These are defined at the boot time or IPL (initial program load) or sometimes by the computer operator. An example of system using static partitions is IBM system/360 operating system multi-programming with MFT (fixed number of tasks).

Ø  Dynamic partitions: These are created automatically for the specified job. An example is of the IBM system/ 360 operating system multi-programming with MVT (variable number of tasks).

- The hardware typed memory such as the base and bound registers (GE – 635, PDP – 10 etc.), Burroughs corporation B5500 etc. is used for relocating the memory partitions. 

- The partitions that can be relocated can be compacted to form larger contiguous memory chunks in the main memory. 

- Some systems allow for swapping out the partitions to the secondary storage and in turn to some additional memory.

The partitioned allocation offers two types of allocation techniques namely:

1. Single partition techniques
2. Multiple partition techniques

- Single partition techniques are the ones that are used for the single time sharing partition for swapping in and out the memory partitions. 

- These techniques are used by the IBM’s TSO (time sharing option). 

- The multiple partition techniques are used in the multiple time sharing partition. 

- In DOS systems when the disk is partitioned, each of the memory partitions act as if it is an individual disk drive. 

- Partitioning is useful for the systems where there are more than one operating system. 

- Partitioning techniques are meant for increasing the efficiency of the disk. 

- Hard and soft partitioning is used on the apple Macintosh computers. 

- The creation, relocation and deletion of the memory partitions can be harmful for the data. 

- That’s why it is good to have back up of the data stored on your system. 

- Several issues have to be considered if you want to install more than one operating system on your computer. 

- Day by day disks are becoming less expensive and bigger. 

- You can go for separate disks for storing data and installing Oss. 

Explain the methods for free space management? – Part 2

- Managing the free space is easy only when the space that has to be managed is divided in to units of fixed size. 

- If this is the case, the list of these fixed size units can be kept. 

- The first entry can be returned if it is requested by the client. 

- Managing free space gets difficult when the space to be managed consists of units of variable sizes. 

- This is the case with the memory allocation library at the user level. 

- This is also the case in the physical memory where the segmentation is used for the implementation of the virtual memory. 

- In such cases, external fragmentation is the main problem. 

- This leads to the splitting up of the disk space in to pieces of variable size. 

- The next coming requests might fail because of unavailability of contiguous free space. 

- For example, the request might fail even if 20 bytes are available and the request requires only 15 bytes because this 20 bytes space is non-contiguous. 

- Thus, the main problem is how the free space should be managed while satisfying the variable sized variables. 

How these strategies can manage free space while at the same time keeping the fragmentation in control.

Low level Mechanisms: 

- Most of the allocator use some common mechanisms as these: coalescing and splitting.

- Here, the free list consists of a set of elements describing about all the free spaces available in the heap. 

- Once a pointer to a space is handed over to the program, the determination of the pointers to this space becomes somewhat difficult. 

- These pointers are stored either in the registers or in the variables at some point of execution. 

- However, this is not the case of garbage collected and strongly typed languages as a measure for enabling compaction for combating fragmentation. - Suppose the program makes a request for a single byte of memory.

- In such a case the action performed by the allocator is called splitting. 

- Here a free memory chunk is searched for and split in to two. 

- The first one is returned to the calling request and the second one stays in the list itself. 

- This approach is used in the allocators where small requests are made requesting space that is of size smaller than the chunk. 

- Most of the allocators use a corollary mechanism called the coalescing of the free space. 

- Suppose a small heap is given and an application calls a function to obtain some memory. 

- This function returns the space available in the middle of the heap. 

- All these strategies are based up on simple policies. 

- An ideal allocator is the one that both minimizes fragmentation and is fast. 

- But since it is possible for the stream of free requests and allocation to be arbitrary, any strategy would go wrong if wrong inputs are given. 

- Thus, the best approach cannot be described. 

There are 4 major approaches in this regard:

1. Best fit: 

- Simplest and first searches the list for free chunks of memory that might be bigger than the size requested. 

- The smallest one in the searched ones is returned and this is known as the best fitting chunk or smallest fitting too. 

- One pass is enough for finding the appropriate block to be returned.

2. Worst fit: 

- This one is just the opposite of the best fit. 

- It looks for the largest chunk and returns the amount requested while keeping the remaining memory space.

3. First fit: 

- This one also looks for the first bigger block and out of it allocates the amount requested by the thread.

4. Next fit: 

- Here, one extra pointer is kept at the location where the last search was done. 

Explain the methods for free space management? – Part 1

- For efficient working of the programs and the entire operating system, it is important that the memory of the system should be managed. 

- When the files and programs are allocated memory space, some free space is left in the storage area. 

- It is required that these free spaces must be managed properly. 

- Since there is a limitation to the disk space, this same space has to be used again and again after deleting and creating new files. 

- A free space list is maintained by the operating system for keeping the track of the available free space. 

- All the free disk spaces are listed in free space list. 

- For the creation of a new file this free space list is searched in order to get the amount of space needed and then if the space is available, it is allocated to the file to be created. 

- In the case of deletion, after deleting the file, its space is added to the list of free spaces.

Methods for Free Space Management

There are 4 methods for the management of free space namely:

- Bit vector

- Linked list

- Grouping

- Counting

What is Bit Vector?

- Quite a many times, the free space list about which we mentioned above, is implemented as the bit vector (also known as the bitmap). 

- Here, 1 bit is used for representing each block. 

- If a particular block has been allocated to some file or program, its representative bit is set to 0 and when the block is available, the bit is set to one.

- Consider an example, suppose the following disk blocks are free and rest are allocated: 1, 2, 4, 5, 6, 7, 9, 10, 12, 13, 14, 18, 19, 21, 26, 27, 28. 

- Then for this allocation we have the following free – space bit map:

01101111011011100011010000111…

- This method of free space management is relatively simple and has good efficiency. 

- This method is known for its efficiency to locate the n consecutive free blocks or the first free block available in the storage area. 

- But this method can be inefficient if it is not kept in the main memory of the system. 

- Also, when required occasionally for the recovery needs, this map can also be written to the disk. 

- Keeping such maps in the physical memory is an easy thing if the system has a small memory but this is not always possible in the case of the systems with larger memories.

What is a Linked list?

- In this method, all the free spaces are linked together and the first block in this linked list is assigned a pointer which is stored in the cache memory. 

- Similarly, the pointer to the second block is stored in the first block.

What is Grouping?

- This method is a modified version of the free list approach and it stores the addresses of the all the free blocks in the first block that is free. 

- Here, actually the first n- 1 blocks only are free and the address of another n free blocks is stored in the last block. 

- This lets the system to find the addresses of a number of free blocks which is not possible in the case where the approach being used is the linked list approach.

What is Counting?

- This approach takes advantage of the simultaneous allocation or freeing of the contiguous blocks through clustering or by using contiguous allocation algorithm. 

- Thus, it requires only to keep the address of the first free block and the rest of the blocks follow it. 

Explain the various Disk Allocation methods? – Part 2

In this article we discuss about the non-contiguous disk allocation methods i.e., the linked allocation and the indexed allocation. 

What is a Linked Allocation?

- In linked allocation a single file might be stored all over the disk and these scattered parts are linked to each other just like a linked list. 

- Few bytes in the memory block are used for storing the address of the following linked block.

- This type of allocation has two major advantages mentioned below:

1. Simplicity and
2. Non – requirement of disk compaction

- Since the nature of the allocation method is non-contiguous, it does not lead to any external fragmentation of the disk space.

- And since all the memory blocks have been linked to each other, a memory block available anywhere in the memory can be used for satisfying the requests made by the processes. 

- Declaring the file size for the linked allocation is not required during its creation. 

- There are no issues even if the file continues to grow as long as free blocks are available and since the blocks can always be linked up. 

- As a consequence of all this, the need for disk compaction is eliminated. 

Disadvantages of Linked Allocation

But there are disadvantages of using linked allocation. They are:

Direct access to the disk blocks becomes slow: 

For finding a particular block of the file, the search has to begin at the starting point of the file and the successive pointers have to be followed till the destination block is reached.

Space required by the pointers: 

- Suppose out of 512 words of a memory block, 2 are required for storing the pointers, then we have 39 percent of the total disk being used by the pointers rather than for data. 

- This adds to the space requirement of the file blocks.

Reliability: 

- Because of all the blocks being linked via the pointers, even if one pointer gets damaged or wrong, the successive blocks can become inaccessible. 

- This problem is quite common and thus most of the operating systems avoid this problem by keeping redundant copies of these pointers in a special file. 

- The basic idea here is to keep the list of the pointers in the physical memory of the system. 

- This also allows for the faster access to the disk blocks.

What is Indexed allocation?

- The linked allocation method does not provide support for the direct access and this problem is solved by the indexed allocation method. 

- In this method, all the pointers are placed over an index. 

- Thus, these pointers together form the index block. 

- The address of this address block is then stored in the directory. 

- The pointer at the nth number in the index block points to the nth block of the associated file. 

- The purpose of the index blocks is somewhat similar to that of the page map tables; however both of these are implemented in a different way.
- First level index is used for searching the index of second level and the second one is used for searching the third one and the process may continue till the fourth level. 

- But in most of the cases the indexes of the first two levels are sufficient. 

- With this method, second level index blocks (128 x 128) can be easily addressed and files of size of up to 8mb can be supported. 

- Assuming the same thing, files of size up to 1 gb can be addressed.

Advantages and Disadvantage of Indexed Allocation

- The major advantage of this allocation technique is that it does not give rise to external fragmentation and offers a high level of efficiency in random accessing. 

- Also, using this technique mapping can be done around the disk blocks that are known to be bad. 

-Bit mapping can be used for indexing the free space. 

The biggest disadvantage of this allocation technique is the large number disk accesses required for the retrieval of the address of the destination block in the memory. 

Explain the various Disk Allocation methods? – Part 1

Management of space of the secondary data storage devices is one of the most necessary functions of the file system. This includes tracking which blocks of memory or disk are being allocated to the files and which blocks are free to be allocated. 

There are two main problems faced by the system during allocation of the space to different files. Firstly, the access to the files has to be fast and secondly, the disk space has to be effectively utilized. Both of these combine to form the big problem of disk management. These two problems are more common with the physical memory of the system. 

However, the secondary storage of the system also introduces 2 additional problems which are long disk access time and blocks of larger size to deal with. In spite of all these problems, there are considerations that are common for both the storage such as the non – contiguous and contiguous space allocation. 

Types of Disk Allocation Methods

The following are the 3 widely used allocation techniques:

Ø  Contiguous

Ø  Linked

Ø  Indexed

- The linked and the indexed allocation techniques fall under the category of the non-contiguous space allocation. 

- All the methods have their own pros and cons.

- It is in the term of blocks that all the input and output operations are carried out on the disk. 

- Software is responsible for converting from the logical record to physical storage blocks.

Contiguous Allocation: 

- This allocation technique assigns only the contiguous memory blocks to the files. 

- The size of the memory required is mentioned by the user in advance for the holding the file. 

- The file is then created only if that much amount of memory is available otherwise not. 

- It is the advantage of the contiguous memory allocation technique that all the successive file records are saved adjacent to each other physically. 

- This causes an increase on the disk access time of the files. 

- This can be concluded from the fact that if the files are scattered all about the disk, then it takes a lot more time to access them. 

- Accessing files when they have been organized in a proper order is quite easy.

- To access the files sequentially, the system uses the address of the last memory block and if required moves to the next one. 

- Both direct and sequential accesses are supported by the contiguous memory allocation technique. 

- The problem with this allocation method is that every time a new contiguous space cannot be found for the new files if a majority of the memory is already in use and if the file size is larger than the available memory.  

Non–Contiguous Memory Allocation: 

- It happens a lot of time that the files grow or shrink in size with usage and time. 

- Therefore, it becomes difficult to determine the exact space required for the files since the users do not have any advance knowledge about the growing size of their files. 

- This is why the systems using the contiguous memory allocation techniques are being replaced by the ones with the non-contiguous storage allocation which is more practical and dynamic in nature. 

- The linked allocation technique mentioned above in the article, is a disk – based implementation of the linked list. 

- Each file is considered to be a list of the disk blocks linked to each other. 

- It does not matter whether the blocks are scattered about the disk. 

- In each block, few bytes are reserved for storing the address of the next block in chain.

- The pointer to the first and the last block of the file is stored in the directory. 

What is a Safe State and what is its use in deadlock avoidance?

Safe state plays a great role in avoiding the deadlocks. In this article we discuss in detail the concept of this safe state.
When do we call a state safe?
It is when even if the system allocates resources to all the processes and no deadlock occurs. This allocation is to the maximum limits and can be done in any preferred order. To put it down more formally, we can say that a system is considered to be in a safe state only if a safe sequence exists. This would become clearer from the following example:

Consider the following sequence of processes:

- Now this sequence is considered to be a safe one for the current state of the allocation if the resource requests made by each of the processes Pi can be satisfied by resources that are currently available including the resources held by some another process that precedes Pi.
- In this case, if the resources required by the Pi are not presently available, then it can wait till the preceding process completes its executions and releases the resources.
- Once it finishes, the resources it held, now can be utilized by the Pi for completing the task assigned to it and then it also releases back the resources to be used by succeeding processes.
- It then finally terminates.
- If there exists no sequence like this, then the system is said to be in an unsafe state.
- A deadlock cannot occur in a safe state and so this state cannot be called a deadlocked one. 
- But on the other side, a state is unsafe if it has a deadlock.
- However, it is not necessary that the reason for all states being unsafe is the deadlock.
- An unsafe state can however lead to a deadlock. 
- It is in the safe states, that the operating system is capable of avoiding the deadlocks.
- When the operating system falls in an unsafe state, it is no more in a position to prevent the requests of the processes that would cause a deadlock to occur.
- It is the behavior of the processes by which the unsafe states of the system are controlled.
- Another major difference between the safe and the unsafe states is that in a safe state it is guaranteed by the operating system that the execution of the processes will be completed in expected time but in the case of unsafe states it gives no such guarantee.
- If the concept of the safe state is predefined, then algorithms can be designed that would make sure that no deadlocks occur.
- The idea behind these algorithms would be to ensure the following things:
1. The system does not come out of the safe state.
2. The system is kept in a safe state initially.
3. The system must be able to determine if a resource requested by a process can be allocated immediately to it or it requires waiting.
4. The system grants the request of the process if and only if after finishing it, the system would still be in a safe state.

- One disadvantage of such algorithms is low resource utilization. It is because the process would still have to wait for the resource even if it is available.
- A deadlock occurs when two or more processes that are competing with one another to wait for each other to finish and neither of them do so.
- The deadlock which involves only two processes is called a deadly embrace.
- This may also occur if one process is waiting for the other to finish which in turn is waiting for some other process to finish and so on.

What is fragmentation? What are different types of fragmentation?

In the field of computer science, the fragmentation is an important factor concerning the performance of the system. It has a great role to play in bringing the performance of the computers. 

What is Fragmentation?

- It can be defined as a phenomenon involving the inefficient use of the storage space that in turn reduces the capacity of the system and also brings down its performance.  

- This phenomenon leads to the wastage of the memory and the term itself means the ‘wasted space’.

- Fragmentation is of three different forms as mentioned below:

1. The external fragmentation
2. Internal fragmentation and
3. Data fragmentation

- All these forms of fragmentation might be present in conjunction with each other or in isolation. 

- In some cases, the fragmentation might be accepted in exchange of simplicity and speed of the system. 

Basic principle behind the fragmentation concept. 

- The CPU allocates the memory in form of blocks or chunks whenever requested by some computer program. 

- When this program has finished executing, the allocated chunk can be returned back to the system memory. 

- The size of memory chunk required by every program varies.

- In its lifetime, a program may request any number of memory chunks and free them after use. 

- When a program begins with its execution, the memory areas that are free to allocated, are contiguous and long. 

- After prolonged usage, these contiguous memory locations get fragmented in to smaller parts. 

- Later, a stage comes when it becomes almost impossible to serve the large memory demands of the program. 

Types of Fragmentation

1.External Fragmentation: 

- This type of fragmentation occurs when the available memory is divided in to smaller blocks and then interspersed. 

- Certain memory allocation algorithms have a minus point that they are at times unable to order the memory used by the programs in such a way that its wastage is minimized. 

- This leads to an undesired situation where even though we have free memory, it cannot be used effectively since being divided in to very small parts that alone cannot satisfy the memory demands of the programs.  

- Since here, the unusable storage lies outside the allocated memory regions, this type of fragmentation is called external fragmentation. 

- This type of fragmentation is also very common in file systems since here many files with different sizes are created as well as deleted. 

- This has a worse effect if the file deleted was in many small pieces. 

- This is so because this leaves similar small free memory chunks which might be of no use.

2. Internal Fragmentation: 

- There are certain rules that govern the process of memory allocation. 

- This leads to the allocation of more computer memory what is required. 

- For example, as the rule memory that is allocated to programs should be divisible by 4, 8 or 16. So if some program actually requires 19 bytes, it gets 20 bytes. 

- This leads to the wastage of extra 1 byte of memory. 

- In this case, this memory becomes unusable and is contained in the allocated region itself and therefore this type of fragmentation is called as the internal fragmentation.

- In computer forensic investigation, the slack space is the most useful source for evidence. 

- However, it is often difficult to reclaim the internal fragmentation. 

- Making a change in the design is the most effective way for preventing it. 

- Memory pools in dynamic memory allocation are the most effective methods for cutting down the internal fragmentation. 

- In this the space overhead is spread by a large number of objects.

3. Data Fragmentation: 

This occurs because of breaking up of the data in many pieces that lie far enough from each other.