What are threads? Explain Kernel Level Threads and their advantages. Explain Linux threads
Here is everything you need to understand about threads, Kernel Level Threads and their major advantages. We also explain the term Linux threads.
What are Threads in OS?
Thread is just one line of sequence within a process. Threads have same properties of the process that is why they are also called light weight processes. Threads are executed one after another, the pieces are sequentially made but give the impression that they work in parallel. Each thread have different states. Each thread has
- A program counter
- A register set
- A stack space
Threads are not independent of each other and they share the code, data, OS resources etc. threads improves the application performance using parallelism.
What are types of threads in Operating System?
There are two types of threads in the operatinf system. These two types are given below:
- user level threads
- kernel level threads
Kernel level threads
Operating system handles kernel level threads directly and thread management is done by kernel. Kernel manages process content information and process threads. Kernel level threads are slower than the user level threads.
Advantages of kernel level threads
Advantages of kernel level threads in operating system are given below:
- In kernel level several threads of same process can program on different processors.
- Kernels can also be multithreading.
- If a kernel level thread is blocked, another thread of same process can schedule by kernel.
Linux Threads in Operating System
Linux provides a fork () of the operating system by repeating the process. It also enables the ability to make strings using the clone () call. Linux cannot distinguish between processes and threads. Linux implements a term function rather than a call and procedure when referring to the flow of control within a program.When the Clone () call is blocked, a set of flags is passed that determines how. More sharing will take place between the child and the parents’ work.
Parent and child activities will share the same file space memory information for the same memory, same symptom managers, and the same set of open files. Using clone () is equivalent to building a string because the parent function shares more resources with its child function. if none of these flags are set when clone () is requested no sharing takes place, which will result in a similar operation with the fork () system call. The different level of sharing is probably due to the way the function is represented in the Linux kernel. A unique kernel data structure (specifically, a built-in task structure) is present for each function in the system. This data structure, instead of storing data for this function, contains references to other data structures where this data is stored for example, data structures representing open file lists, signal processing information, and visual memory.
When a fork () is requested, together with a copy of all data structures related to the parent process a new function is created. A new function is also created when the clone () call is executed. However, rather than copying all the data structures, the new function points in the parent workflow data structures, according to the set of flags transferred to clone ().
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