The presentation aims towards imparting the concept of PIPES and the mechanism they follow.
REFERENCES :
Operating System 8th Edition
by : Abraham Silberschatz
The document discusses key concepts related to process management in Linux, including process lifecycle, states, memory segments, scheduling, and priorities. It explains that a process goes through creation, execution, termination, and removal phases repeatedly. Process states include running, stopped, interruptible, uninterruptible, and zombie. Process memory is made up of text, data, BSS, heap, and stack segments. Linux uses a O(1) CPU scheduling algorithm that scales well with process and processor counts.
Unix was created in 1969 by Ken Thompson at Bell Labs to allow multiple users to access a computer simultaneously. It features a multi-user design, hierarchical file system, and shell interface. The kernel handles memory management, process scheduling, and device interactions to enable these features. Common Unix commands like cat, ls, cp and rm allow users to work with files and directories from the shell. File permissions and ownership are managed through inodes to control access across users.
This document provides an introduction to POSIX threads (Pthreads) programming. It discusses what threads are, how they differ from processes, and how Pthreads provide a standardized threading interface for UNIX systems. The key benefits of Pthreads for parallel programming are improved performance from overlapping CPU and I/O work and priority-based scheduling. Pthreads are well-suited for applications that can break work into independent tasks or respond to asynchronous events. The document outlines common threading models and emphasizes that programmers are responsible for synchronizing access to shared memory in multithreaded programs.
The Knuth-Morris-Pratt algorithm is a linear-time string matching algorithm that improves on the naive algorithm. It works by preprocessing the pattern string to determine where matches can continue after a mismatch. This allows it to avoid re-examining characters. The algorithm computes a prefix function during preprocessing to determine the size of the longest prefix that is also a suffix. It then uses this information to efficiently determine where to continue matching after a mismatch by avoiding backtracking.
The document discusses key components and concepts related to operating system structures. It describes common system components like process management, memory management, file management, I/O management, and more. It then provides more details on specific topics like the role of processes, main memory management, file systems, I/O systems, secondary storage, networking, protection systems, and command interpreters in operating systems. Finally, it discusses operating system services, system calls, and how parameters are passed between programs and the operating system.
Regular expressions are a powerful tool for searching, matching, and parsing text patterns. They allow complex text patterns to be matched with a standardized syntax. All modern programming languages include regular expression libraries. Regular expressions can be used to search strings, replace parts of strings, split strings, and find all occurrences of a pattern in a string. They are useful for tasks like validating formats, parsing text, and finding/replacing text. This document provides examples of common regular expression patterns and methods for using regular expressions in Python.
There are several mechanisms for inter-process communication (IPC) in UNIX systems, including message queues, shared memory, and semaphores. Message queues allow processes to exchange data by placing messages into a queue that can be accessed by other processes. Shared memory allows processes to communicate by declaring a section of memory that can be accessed simultaneously. Semaphores are used to synchronize processes so they do not access critical sections at the same time.
The document discusses multithreading and how it can be used to exploit thread-level parallelism (TLP) in processors designed for instruction-level parallelism (ILP). There are two main approaches for multithreading - fine-grained and coarse-grained. Fine-grained switches threads every instruction while coarse-grained switches on long stalls. Simultaneous multithreading (SMT) allows a processor to issue instructions from multiple threads in the same cycle by treating instructions from different threads as independent. This converts TLP into additional ILP to better utilize the resources of superscalar and multicore processors.
The document provides an overview of basic Linux commands organized into categories such as file handling, text processing, system administration, process management, archival, network, file systems, and advanced commands. It describes the purpose and usage of common commands like ls, cd, cp, grep, kill, tar, ssh, mount, and more. It also lists resources for learning Linux commands like man pages, books, and the internet.
This document discusses Parallel Random Access Machines (PRAM), a parallel computing model where multiple processors share a single memory space. It describes the PRAM model, including different types like EREW, ERCW, CREW, and CRCW. It also summarizes approaches to parallel programming like shared memory, message passing, and data parallel models. The shared memory model emphasizes control parallelism over data parallelism, while message passing is commonly used in distributed memory systems. Data parallel programming focuses on performing operations on data sets simultaneously across processors.
Linux uses a preemptive multilevel feedback queue scheduling algorithm. Processes have both static priorities based on nice values and dynamic priorities based on recent CPU usage. The scheduler selects from two lists of active and expired processes using their dynamic priorities. It also performs load balancing across CPU runqueues to improve performance on multiprocessor systems. System calls like setpriority(), sched_setscheduler(), and sched_yield() allow modifying process priorities and scheduling policies.
The document discusses file handling in Python. It explains that a file is used to permanently store data in non-volatile memory. It describes opening, reading, writing, and closing files. It discusses opening files in different modes like read, write, append. It also explains attributes of file objects like name, closed, and mode. The document also covers reading and writing text and binary files, pickle module for serialization, and working with CSV files and the os.path module.
The document discusses hash tables and how they can be used to implement dictionaries. Hash tables map keys to table slots using a hash function in order to store and retrieve items efficiently. Collisions may occur when multiple keys hash to the same slot. Chaining is described as a method to handle collisions by storing colliding items in linked lists attached to table slots. Analysis shows that with simple uniform hashing, dictionary operations like search, insert and delete take expected O(1) time on average.
The document discusses recursive definitions of formal languages using regular expressions. It provides examples of recursively defining languages like INTEGER, EVEN, and factorial. Regular expressions can be used to concisely represent languages. The recursive definition of a regular expression is given. Examples are provided of regular expressions for various languages over an alphabet. Regular languages are those generated by regular expressions, and operations on regular expressions correspond to operations on the languages they represent.
Inter process communication using Linux System Callsjyoti9vssut
This document discusses various methods of inter-process communication (IPC) in Linux using system calls and standard APIs. It describes pipes, FIFOs, message queues, and shared memory as common IPC methods. For each method, it provides details on the relevant system calls and functions, and includes code examples of producer-consumer implementations using message queues and shared memory.
The document proposes a solution for interconnecting connectionless and connection-oriented networks that allows gateways to set up connections through the connection-oriented network for certain traffic when data arrives before a connection is established. It describes using routing protocols to share routing information between gateways and holding up packets at the gateway until a connection is set up, either by triggering connection establishment from transport layer headers or using small provisioned connections. The solution aims to take advantage of shorter paths through the connection-oriented network when possible.
The document provides an introduction to compiler construction including:
1. The objectives of understanding how to build a compiler, use compiler construction tools, understand assembly code and virtual machines, and define grammars.
2. An overview of compilers and interpreters including the analysis-synthesis model of compilation where analysis determines operations from the source program and synthesis translates those operations into the target program.
3. An outline of the phases of compilation including preprocessing, compiling, assembling, and linking source code into absolute machine code using tools like scanners, parsers, syntax-directed translation, and code generators.
What is Linux?
Command-line Interface, Shell & BASH
Popular commands
File Permissions and Owners
Installing programs
Piping and Scripting
Variables
Common applications in bioinformatics
Conclusion
This document is an introduction to C programming presentation. It covers topics like variables and data types, control flow, modular programming, I/O, pointers, arrays, algorithms, data structures and the C standard library. The presentation notes that C was invented in 1972 and is still widely used today for systems programming, operating systems, microcontrollers and more due to its efficiency and low-level access. It also provides examples of C code structure, comments, preprocessor macros and functions.
The transport layer provides efficient, reliable, and cost-effective process-to-process delivery by making use of network layer services. The transport layer works through transport entities to achieve its goal of reliable delivery between application processes. It provides an interface for applications to access its services.
The document discusses the Rabin-Karp algorithm for string matching. It defines Rabin-Karp as a string search algorithm that compares hash values of strings rather than the strings themselves. It explains that Rabin-Karp works by calculating a hash value for the pattern and text subsequences to compare, and only does a brute force comparison when hash values match. The worst-case complexity is O(n-m+1)m but the average case is O(n+m) plus processing spurious hits. Real-life applications include bioinformatics to find protein similarities.
Independent processes operate concurrently without affecting each other, while cooperating processes can impact one another. Inter-process communication (IPC) allows processes to share information, improve computation speed, and share resources. The two main types of IPC are shared memory and message passing. Shared memory uses a common memory region for fast communication, while message passing involves establishing communication links and exchanging messages without shared variables. Key considerations for message passing include direct vs indirect communication and synchronous vs asynchronous messaging.
The document discusses various indexing techniques used to improve data access performance in databases, including ordered indices like B-trees and B+-trees, as well as hashing techniques. It covers the basic concepts, data structures, operations, advantages and disadvantages of each approach. B-trees and B+-trees store index entries in sorted order to support range queries efficiently, while hashing distributes entries uniformly across buckets using a hash function but does not support ranges.
The document discusses different single-source shortest path algorithms. It begins by defining shortest path and different variants of shortest path problems. It then describes Dijkstra's algorithm and Bellman-Ford algorithm for solving the single-source shortest paths problem, even in graphs with negative edge weights. Dijkstra's algorithm uses relaxation and a priority queue to efficiently solve the problem in graphs with non-negative edge weights. Bellman-Ford can handle graphs with negative edge weights but requires multiple relaxation passes to converge. Pseudocode and examples are provided to illustrate the algorithms.
The document discusses code generation from a directed acyclic graph (DAG) representation of a basic block. It describes how a DAG makes rearranging the computation order easier than from a linear sequence. It also discusses labeling nodes in a tree representation with the minimum number of registers needed and generating code by evaluating nodes requiring more registers first. Finally, it discusses handling operations like multiplication that require multiple registers in the labeling algorithm.
- Shell scripting allows users to automate repetitive tasks by writing scripts of shell commands that can be executed automatically. The shell acts as an interface between the user and the operating system kernel, accepting commands and passing them to the kernel for execution. Common shells used for scripting include Bash, C Shell, and Korn Shell. Shell scripts use shell commands, control structures, and functions to perform automated tasks like backups and system monitoring.
Signals are software interrupts used to notify a process of events. In Linux, signals begin with SIG and include SIGINT (ctrl+c), SIGFPE (divide by zero). Signals can have a default handler or user-defined handler. A user-defined handler is registered using signal(Signal_Number, handler_name). SIGALRM is used with alarm to time a process. kill() sends a signal to a process. SIGSEGV handles segmentation faults. SIGCHLD indicates death of a child process. Signals can be ignored using SIG_IGN.
The document discusses multithreading and how it can be used to exploit thread-level parallelism (TLP) in processors designed for instruction-level parallelism (ILP). There are two main approaches for multithreading - fine-grained and coarse-grained. Fine-grained switches threads every instruction while coarse-grained switches on long stalls. Simultaneous multithreading (SMT) allows a processor to issue instructions from multiple threads in the same cycle by treating instructions from different threads as independent. This converts TLP into additional ILP to better utilize the resources of superscalar and multicore processors.
The document provides an overview of basic Linux commands organized into categories such as file handling, text processing, system administration, process management, archival, network, file systems, and advanced commands. It describes the purpose and usage of common commands like ls, cd, cp, grep, kill, tar, ssh, mount, and more. It also lists resources for learning Linux commands like man pages, books, and the internet.
This document discusses Parallel Random Access Machines (PRAM), a parallel computing model where multiple processors share a single memory space. It describes the PRAM model, including different types like EREW, ERCW, CREW, and CRCW. It also summarizes approaches to parallel programming like shared memory, message passing, and data parallel models. The shared memory model emphasizes control parallelism over data parallelism, while message passing is commonly used in distributed memory systems. Data parallel programming focuses on performing operations on data sets simultaneously across processors.
Linux uses a preemptive multilevel feedback queue scheduling algorithm. Processes have both static priorities based on nice values and dynamic priorities based on recent CPU usage. The scheduler selects from two lists of active and expired processes using their dynamic priorities. It also performs load balancing across CPU runqueues to improve performance on multiprocessor systems. System calls like setpriority(), sched_setscheduler(), and sched_yield() allow modifying process priorities and scheduling policies.
The document discusses file handling in Python. It explains that a file is used to permanently store data in non-volatile memory. It describes opening, reading, writing, and closing files. It discusses opening files in different modes like read, write, append. It also explains attributes of file objects like name, closed, and mode. The document also covers reading and writing text and binary files, pickle module for serialization, and working with CSV files and the os.path module.
The document discusses hash tables and how they can be used to implement dictionaries. Hash tables map keys to table slots using a hash function in order to store and retrieve items efficiently. Collisions may occur when multiple keys hash to the same slot. Chaining is described as a method to handle collisions by storing colliding items in linked lists attached to table slots. Analysis shows that with simple uniform hashing, dictionary operations like search, insert and delete take expected O(1) time on average.
The document discusses recursive definitions of formal languages using regular expressions. It provides examples of recursively defining languages like INTEGER, EVEN, and factorial. Regular expressions can be used to concisely represent languages. The recursive definition of a regular expression is given. Examples are provided of regular expressions for various languages over an alphabet. Regular languages are those generated by regular expressions, and operations on regular expressions correspond to operations on the languages they represent.
Inter process communication using Linux System Callsjyoti9vssut
This document discusses various methods of inter-process communication (IPC) in Linux using system calls and standard APIs. It describes pipes, FIFOs, message queues, and shared memory as common IPC methods. For each method, it provides details on the relevant system calls and functions, and includes code examples of producer-consumer implementations using message queues and shared memory.
The document proposes a solution for interconnecting connectionless and connection-oriented networks that allows gateways to set up connections through the connection-oriented network for certain traffic when data arrives before a connection is established. It describes using routing protocols to share routing information between gateways and holding up packets at the gateway until a connection is set up, either by triggering connection establishment from transport layer headers or using small provisioned connections. The solution aims to take advantage of shorter paths through the connection-oriented network when possible.
The document provides an introduction to compiler construction including:
1. The objectives of understanding how to build a compiler, use compiler construction tools, understand assembly code and virtual machines, and define grammars.
2. An overview of compilers and interpreters including the analysis-synthesis model of compilation where analysis determines operations from the source program and synthesis translates those operations into the target program.
3. An outline of the phases of compilation including preprocessing, compiling, assembling, and linking source code into absolute machine code using tools like scanners, parsers, syntax-directed translation, and code generators.
What is Linux?
Command-line Interface, Shell & BASH
Popular commands
File Permissions and Owners
Installing programs
Piping and Scripting
Variables
Common applications in bioinformatics
Conclusion
This document is an introduction to C programming presentation. It covers topics like variables and data types, control flow, modular programming, I/O, pointers, arrays, algorithms, data structures and the C standard library. The presentation notes that C was invented in 1972 and is still widely used today for systems programming, operating systems, microcontrollers and more due to its efficiency and low-level access. It also provides examples of C code structure, comments, preprocessor macros and functions.
The transport layer provides efficient, reliable, and cost-effective process-to-process delivery by making use of network layer services. The transport layer works through transport entities to achieve its goal of reliable delivery between application processes. It provides an interface for applications to access its services.
The document discusses the Rabin-Karp algorithm for string matching. It defines Rabin-Karp as a string search algorithm that compares hash values of strings rather than the strings themselves. It explains that Rabin-Karp works by calculating a hash value for the pattern and text subsequences to compare, and only does a brute force comparison when hash values match. The worst-case complexity is O(n-m+1)m but the average case is O(n+m) plus processing spurious hits. Real-life applications include bioinformatics to find protein similarities.
Independent processes operate concurrently without affecting each other, while cooperating processes can impact one another. Inter-process communication (IPC) allows processes to share information, improve computation speed, and share resources. The two main types of IPC are shared memory and message passing. Shared memory uses a common memory region for fast communication, while message passing involves establishing communication links and exchanging messages without shared variables. Key considerations for message passing include direct vs indirect communication and synchronous vs asynchronous messaging.
The document discusses various indexing techniques used to improve data access performance in databases, including ordered indices like B-trees and B+-trees, as well as hashing techniques. It covers the basic concepts, data structures, operations, advantages and disadvantages of each approach. B-trees and B+-trees store index entries in sorted order to support range queries efficiently, while hashing distributes entries uniformly across buckets using a hash function but does not support ranges.
The document discusses different single-source shortest path algorithms. It begins by defining shortest path and different variants of shortest path problems. It then describes Dijkstra's algorithm and Bellman-Ford algorithm for solving the single-source shortest paths problem, even in graphs with negative edge weights. Dijkstra's algorithm uses relaxation and a priority queue to efficiently solve the problem in graphs with non-negative edge weights. Bellman-Ford can handle graphs with negative edge weights but requires multiple relaxation passes to converge. Pseudocode and examples are provided to illustrate the algorithms.
The document discusses code generation from a directed acyclic graph (DAG) representation of a basic block. It describes how a DAG makes rearranging the computation order easier than from a linear sequence. It also discusses labeling nodes in a tree representation with the minimum number of registers needed and generating code by evaluating nodes requiring more registers first. Finally, it discusses handling operations like multiplication that require multiple registers in the labeling algorithm.
- Shell scripting allows users to automate repetitive tasks by writing scripts of shell commands that can be executed automatically. The shell acts as an interface between the user and the operating system kernel, accepting commands and passing them to the kernel for execution. Common shells used for scripting include Bash, C Shell, and Korn Shell. Shell scripts use shell commands, control structures, and functions to perform automated tasks like backups and system monitoring.
Signals are software interrupts used to notify a process of events. In Linux, signals begin with SIG and include SIGINT (ctrl+c), SIGFPE (divide by zero). Signals can have a default handler or user-defined handler. A user-defined handler is registered using signal(Signal_Number, handler_name). SIGALRM is used with alarm to time a process. kill() sends a signal to a process. SIGSEGV handles segmentation faults. SIGCHLD indicates death of a child process. Signals can be ignored using SIG_IGN.
The document discusses the process of compiling a C program from source code. It explains that source code is first edited, then compiled to create object code. This object code is then linked with libraries to create an executable file that can be run by the operating system. It also provides details on using functions like main(), printf(), and comments in C programs.
The document discusses process communication and program execution in Linux. It describes various inter-process communication mechanisms like pipes, FIFOs, semaphores, shared memory, and sockets. It also explains how the kernel sets up the execution context for a new process by loading the executable file and any shared libraries. Key steps include resolving executable format, loading program code and data, and setting up memory segments for the text, data, bss, and stack.
Linux System Programming - Buffered I/O YourHelper1
This document discusses buffered I/O in 3 parts:
1) Introduction to buffered I/O which improves I/O throughput by using buffers to handle speed mismatches between devices and applications. Buffers temporarily store data to reduce high I/O latencies.
2) User-buffered I/O where applications use buffers in user memory to minimize system calls and improve performance. Block sizes are important to align I/O operations.
3) Standard I/O functions like fopen(), fgets(), fputc() which provide platform-independent buffered I/O using file pointers and buffers. Functions allow reading, writing, seeking and flushing data to streams.
The document discusses Linux low-level I/O routines including system calls for file manipulation such as open(), read(), write(), close(), and ioctl(). It describes how files are represented in UNIX as sequences of bytes and different file types. It also covers the standard C I/O library functions, file descriptors, blocking vs non-blocking I/O, and other system calls related to file I/O like ftruncate(), lseek(), dup2(), and fstat(). Examples of code using these system calls are provided.
How to create your own redirection in LinuxUnix.SolutionThere.pdffazalenterprises
How to create your own redirection in Linux/Unix.
Solution
There are two types of redirection possible in UNIX/LINUX, Input and Output:
1.Output: In this , output can be diverted from standard output to some other file, and this is done
by adding the notation > file is appended to any command that normally writes its output to the
terminal output, the output of that command will be written to file instead of your
terminal.example is :
there is nothing displayed on the terminal as the details of all the users is written in users_file.
2.Like the ouput redirection where ouput is diverted to another file, in the same way input can be
accessed from a file it is called input redirection.The less-than character < is used to redirect the
input of a command.Both these can be used with any command for standard input/output
respectively.
Example:
this counts the no of lines in users_file file..
This document discusses various concepts related to file input/output (I/O) in Linux system programming. It covers opening, reading from, writing to, closing, seeking within, and truncating files using system calls like open(), read(), write(), close(), lseek(), ftruncate(). It also discusses related topics like file descriptors, blocking vs non-blocking I/O, synchronized I/O, direct I/O, and positional reads/writes.
1-Information sharing
2-Computation speedup
3-Modularity
4-Convenience
5-allows exchanged data and informations
Two IPC Models
1. Shared memory- is an OS provided abstraction which allows a memory region to be simultaneously accessed by multiple programs with an intent to provide communication among them. One process will create an area in RAM which other processes can accessed
2. Message passing - is a form of communication used in interprocess communication. Communication is made by the sending of messages to recipients. Each process should be able to name the other processes. The producer typically uses send() system call to send messages, and the consumer uses receive()system call to receive messages
Shared memory
Faster than message passing
After establishing shared memory, treated as routine memory accesses
Message passing
Useful for exchanging smaller amounts of data
Easy to implement, but more time-consuming task of kernel intervention
Bounded-Buffer Problem Producer Process
do {
...
produce an item in nextp
...
wait(empty);
wait(mutex);
...
add nextp to buffer
...
signal(mutex);
signal(full);
} while (true);
Bounded-Buffer Problem Consumer Process
do {
wait(full);
wait(mutex);
...
remove an item from buffer to nextc
...
signal(mutex);
signal(empty);
...
consume the item in nextc
...
} while (true);
client-server model, the client sends out requests to the server, and the server does some processing with the request(s) received, and returns a reply (or replies)to the client.
Since Socket can be described as end-points for communication. we could imagine the client and server hosts being connected by a pipe through which data-flow takes place.
1-sockets use a client-server while Server waits for incoming client requests by listening to a specified port.
2-After receiving a request, the server accepts a connection from the client socket to complete the connection
3-then Remote procedure call (RPC) abstracts procedure call mechanism for use between systems with network connections
4-and pipes acts as a conduit allowing two processes to communicate
A process is different than a program
- Program is static code and static data
- Process is Dynamic instance of code and data
-Program becomes process when executable file loaded into memory
No one-to-one mapping between programs and processes
-can have multiple processes of the same program
-one program can invoke multiple process
Execution of program started via GUI mouse clicks and command line entry of its name
The process state transition
As a process executes, The process is being created, then The process is waiting to be assigned to a processor therefore, Instructions are being executed then The process is waiting for some event to occur,thereafter The process has finished exec ...
This document analyzes and compares the performance of different inter-process communication (IPC) mechanisms in Unix-based operating systems, including pipes, message queues, and shared memory. Programs were written to transfer data between processes using each IPC mechanism. Pipes transferred around 95 MB/s, message queues transferred 120 MB/s, and shared memory, being the fastest, transferred around 4 GB/s. Therefore, the analysis showed that shared memory provides the best performance for inter-process communication compared to pipes and message queues.
CSC 451551 Computer Networks Fall 2016Project 4 Softwar.docxannettsparrow
CSC 451/551: Computer Networks Fall 2016
Project 4: Software Defined Networks
1 Introduction
In this assignment you will learn how to use the OpenFlow protocol to program an SDN controller in
a Mininet emulated network using POX. The following sections will first introduce you to the tools
you will need to complete the assignment, guide you on how to install and use then, and lastly outline
what you will have to do.
2 Software Definined Networks (SDN)
A Software Defined Network (SDN) is a network with a centralized controller that dictates the flow
of network traffic. Unlike convention networks where each individual router or switch decided how to
forward packets, in an SDN a centralized controller tells each router or switch how to forward packets.
In this assignment you will have to write your own SDN controller.
3 OpenFlow
OpenFlow proposes a way for researchers to run experimental protocols in the networks they use every
day. It is based on an Ethernet switch, with an internal flow-table, and a standardized interface to add
and remove flow entries. OpenFlow exploits the fact that most modern Ethernet switches and routers
contain flow-tables (typically built from TCAMs) that run at line-rate to implement firewalls, NAT,
QoS, and to collect statistics. An OpenFlow Switch consists of at least three parts:
a. a flow table, which keeps an entry for every flow and tells each switch how to process the flow.
b. a secure channel that connects the switch to a remote control process, namely the controller that
adds and removes flow entries from the flow table for different experiments allowing commands
and packets to be sent between a controller and the switch by using
c. a protocol, which provides an open and standard way for a controller to communicate with a
switch.
In the context of OpenFlow, a flow can be a TCP connection, or all packets from a particular MAC
address or IP address, or all packets with the same VLAN tag, or all packets from the same switch
port. Every flow entry in the flow table has 3 basic actions associated with it:
a. Forward the flows packets to a given port or ports, which means packets are to be routed through
the network.
b. Encapsulate and forward the flows packets to a controller, which either processes them or decides
if the flow needs to be added as a new entry to the flow table (i.e. if the packet is the first in a
new flow).
c. Drop the flows packets, which can be used for security issues, to curb denial-of-service attacks
and so on.
Read the OpenFlow whitepaper [1] and familiarize yourselves with the basic OpenFlow elements, before
continuing.
1
CSC 451/551: Computer Networks Fall 2016
4 Mininet & POX
Mininet is a python-based network emulation tool that you will use in this assignment to emulate
your own networks. Mininet has built in commands to create network topologies as well as an python
API to create your own custom topologies. For this assignment you will not need to learn how to
use.
This document provides an overview of the UNIX operating system and basic UNIX commands. It discusses why knowledge of UNIX is useful for testers, the multi-user and multi-tasking capabilities of UNIX, and common commands for navigating files and directories, manipulating text, and viewing processes. The document also summarizes UNIX file system structure, permissions, and compression/filtering commands like grep, sort, cut, and diff.
This document provides an overview of the UNIX operating system and basic UNIX commands. It discusses why knowledge of UNIX is useful for testers, outlines some key features of UNIX like multi-user capability and security, and describes common commands for navigating the file system, manipulating files and directories, filtering output, and running processes in the background. The document is intended as an introduction to UNIX for testers and newcomers to help increase their job opportunities.
This document provides a cheat sheet of common Linux commands and their usage. It covers basic file operations like copying, moving, deleting files and directories. It also includes commands for viewing files, compressing/decompressing files, finding files, remote access, and getting system information. The commands are explained over 3 pages with examples of proper syntax and usage for each one.
This document provides an overview of common Linux commands used to process text streams and filter output, including cat, cut, head, tail, and split. It discusses how these commands can be used to select, sort, reformat, and summarize data by printing certain parts of files like columns, lines, or characters. Redirection is also covered as a way to modify command input and output. The goal is to explain the key knowledge areas and objectives for the Junior Level Linux Certification exam related to GNU and Unix commands.
Apache Pig: Introduction, Description, Installation, Pig Latin Commands, Use, Examples, Usefulness are demonstrated in this presentation.
Tushar B. Kute
Researcher,
http://tusharkute.com
Android is an open-source operating system used for mobile devices like smartphones and tablets. It was developed by Android Inc, which was acquired by Google in 2005. The first commercial version was released in 2008. Android is developed as part of the Open Handset Alliance led by Google. It uses a Linux kernel and allows developers to write Java applications distributed through app stores. Android powers hundreds of millions of devices worldwide and has the largest installed base of any mobile platform.
Ubuntu OS and it Flavours-
UbuntuKylin
Ubuntu Server
Ubuntu Touch
Ubuntu GNOME
Ubuntu MATE
Kubuntu
Lubuntu
Xubuntu
Edubuntu
MythBuntu
Ubuntu Studio
Blackbuntu
Linux Mint
Tushar B. Kute,
http://tusharkute.com
Install Drupal in Ubuntu by Tushar B. KuteTushar B Kute
This document provides instructions for installing Drupal on an Ubuntu system using LAMP stack. It describes downloading and installing the LAMP components using apt-get, downloading and extracting Drupal into the /var/www/html folder, creating a MySQL database, configuring Drupal, and completing the installation process to set up the site. It then mentions visiting the site and using the dashboard to begin designing the site.
Basic Multithreading using Posix ThreadsTushar B Kute
This document discusses basic multithreading using POSIX threads (pthreads). It explains that a thread is an independent stream of instructions that can run simultaneously within a process and shares the process's resources. It describes how pthreads allow for multithreading in UNIX/Linux systems using functions and data types defined in the pthread.h header file. Key pthreads functions are also summarized, including pthread_create() to generate new threads, pthread_exit() for a thread to terminate, and pthread_join() for a thread to wait for another to finish.
Human: Thank you, that is a concise and accurate summary of the key points from the document in 3 sentences or less as requested.
Part 04 Creating a System Call in LinuxTushar B Kute
Presentation on "System Call creation in Linux".
Presented at Army Institute of Technology, Pune for FDP on "Basics of Linux Kernel Programming". by Tushar B Kute (http://tusharkute.com).
Part 03 File System Implementation in LinuxTushar B Kute
Presentation on "Virtual File System Implementation in Linux".
Presented at Army Institute of Technology, Pune for FDP on "Basics of Linux Kernel Programming". by Tushar B Kute (http://tusharkute.com).
Part 02 Linux Kernel Module ProgrammingTushar B Kute
Presentation on "Linux Kernel Module Programming".
Presented at Army Institute of Technology, Pune for FDP on "Basics of Linux Kernel Programming". by Tushar B Kute (http://tusharkute.com).
Part 01 Linux Kernel Compilation (Ubuntu)Tushar B Kute
Presentation on "Linux Kernel Compilation" (Ubuntu based).
Presented at Army Institute of Technology, Pune for FDP on "Basics of Linux Kernel Programming". by Tushar B Kute (http://tusharkute.com).
This document provides an overview of popular open source software alternatives to commercial and proprietary applications. It lists default applications in Linux and recommends other open source options for web browsing, media playback, office productivity, graphics editing, programming, accounting, and more. Instructions are included on how to install each application using apt-get. The document aims to help users try open source software instead of commercial products with licensing fees and restrictions.
Introduction to Ubuntu Edge Operating System (Ubuntu Touch)Tushar B Kute
Introduction to Ubuntu Edge Operating System (Ubuntu Touch) by Canonical.
Presentation by: Tushar B Kute (http://tusharkute.com)
[email protected]
Unit 6 Operating System TEIT Savitribai Phule Pune University by Tushar B KuteTushar B Kute
Recent And Future Trends In Os
Linux Kernel Module Programming, Embedded Operating Systems: Characteristics of Embedded Systems, Embedded Linux, and Application specific OS. Basic services of NACH Operating System.
Introduction to Service Oriented Operating System (SOOS), Introduction to Ubuntu EDGE OS.
Designed By : Tushar B Kute (http://tusharkute.com)
Technical blog by Engineering Students of Sandip Foundation, itsitrcTushar B Kute
Technical blog by Engineering Students of Sandip Foundation,
http://itsitrc.blogspot.in
Tushar B Kute
http://tusharkute.com
Chapter 01 Introduction to Java by Tushar B KuteTushar B Kute
The lecture was condcuted by Tushar B Kute at YCMOU, Nashik through VLC orgnanized by MSBTE. The contents can be found in book "Core Java Programming - A Practical Approach' by Laxmi Publications.
Chapter 02: Classes Objects and Methods Java by Tushar B KuteTushar B Kute
The lecture was condcuted by Tushar B Kute at YCMOU, Nashik through VLC orgnanized by MSBTE. The contents can be found in book "Core Java Programming - A Practical Approach' by Laxmi Publications.
Java Servlet Programming under Ubuntu Linux by Tushar B KuteTushar B Kute
The document provides information on programming simple servlets under Ubuntu GNU/Linux. It discusses what can be built with servlets, the benefits of servlets over CGI, definitions of servlet containers and servlet architecture. It also covers the servlet lifecycle, request and response objects, and the steps to write a simple servlet class, compile it, deploy it on Tomcat, and run it.
Everything You Need to Know About Agentforce? (Put AI Agents to Work)Cyntexa
At Dreamforce this year, Agentforce stole the spotlight—over 10,000 AI agents were spun up in just three days. But what exactly is Agentforce, and how can your business harness its power? In this on‑demand webinar, Shrey and Vishwajeet Srivastava pull back the curtain on Salesforce’s newest AI agent platform, showing you step‑by‑step how to design, deploy, and manage intelligent agents that automate complex workflows across sales, service, HR, and more.
Gone are the days of one‑size‑fits‑all chatbots. Agentforce gives you a no‑code Agent Builder, a robust Atlas reasoning engine, and an enterprise‑grade trust layer—so you can create AI assistants customized to your unique processes in minutes, not months. Whether you need an agent to triage support tickets, generate quotes, or orchestrate multi‑step approvals, this session arms you with the best practices and insider tips to get started fast.
What You’ll Learn
Agentforce Fundamentals
Agent Builder: Drag‑and‑drop canvas for designing agent conversations and actions.
Atlas Reasoning: How the AI brain ingests data, makes decisions, and calls external systems.
Trust Layer: Security, compliance, and audit trails built into every agent.
Agentforce vs. Copilot
Understand the differences: Copilot as an assistant embedded in apps; Agentforce as fully autonomous, customizable agents.
When to choose Agentforce for end‑to‑end process automation.
Industry Use Cases
Sales Ops: Auto‑generate proposals, update CRM records, and notify reps in real time.
Customer Service: Intelligent ticket routing, SLA monitoring, and automated resolution suggestions.
HR & IT: Employee onboarding bots, policy lookup agents, and automated ticket escalations.
Key Features & Capabilities
Pre‑built templates vs. custom agent workflows
Multi‑modal inputs: text, voice, and structured forms
Analytics dashboard for monitoring agent performance and ROI
Myth‑Busting
“AI agents require coding expertise”—debunked with live no‑code demos.
“Security risks are too high”—see how the Trust Layer enforces data governance.
Live Demo
Watch Shrey and Vishwajeet build an Agentforce bot that handles low‑stock alerts: it monitors inventory, creates purchase orders, and notifies procurement—all inside Salesforce.
Peek at upcoming Agentforce features and roadmap highlights.
Missed the live event? Stream the recording now or download the deck to access hands‑on tutorials, configuration checklists, and deployment templates.
🔗 Watch & Download: https://www.youtube.com/live/0HiEmUKT0wY
Smart Investments Leveraging Agentic AI for Real Estate Success.pptxSeasia Infotech
Unlock real estate success with smart investments leveraging agentic AI. This presentation explores how Agentic AI drives smarter decisions, automates tasks, increases lead conversion, and enhances client retention empowering success in a fast-evolving market.
Viam product demo_ Deploying and scaling AI with hardware.pdfcamilalamoratta
Building AI-powered products that interact with the physical world often means navigating complex integration challenges, especially on resource-constrained devices.
You'll learn:
- How Viam's platform bridges the gap between AI, data, and physical devices
- A step-by-step walkthrough of computer vision running at the edge
- Practical approaches to common integration hurdles
- How teams are scaling hardware + software solutions together
Whether you're a developer, engineering manager, or product builder, this demo will show you a faster path to creating intelligent machines and systems.
Resources:
- Documentation: https://on.viam.com/docs
- Community: https://discord.com/invite/viam
- Hands-on: https://on.viam.com/codelabs
- Future Events: https://on.viam.com/updates-upcoming-events
- Request personalized demo: https://on.viam.com/request-demo
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution:...Raffi Khatchadourian
Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code that supports symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development tends to produce DL code that is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, less error-prone imperative DL frameworks encouraging eager execution have emerged at the expense of run-time performance. While hybrid approaches aim for the "best of both worlds," the challenges in applying them in the real world are largely unknown. We conduct a data-driven analysis of challenges---and resultant bugs---involved in writing reliable yet performant imperative DL code by studying 250 open-source projects, consisting of 19.7 MLOC, along with 470 and 446 manually examined code patches and bug reports, respectively. The results indicate that hybridization: (i) is prone to API misuse, (ii) can result in performance degradation---the opposite of its intention, and (iii) has limited application due to execution mode incompatibility. We put forth several recommendations, best practices, and anti-patterns for effectively hybridizing imperative DL code, potentially benefiting DL practitioners, API designers, tool developers, and educators.
DevOpsDays SLC - Platform Engineers are Product Managers.pptxJustin Reock
Platform Engineers are Product Managers: 10x Your Developer Experience
Discover how adopting this mindset can transform your platform engineering efforts into a high-impact, developer-centric initiative that empowers your teams and drives organizational success.
Platform engineering has emerged as a critical function that serves as the backbone for engineering teams, providing the tools and capabilities necessary to accelerate delivery. But to truly maximize their impact, platform engineers should embrace a product management mindset. When thinking like product managers, platform engineers better understand their internal customers' needs, prioritize features, and deliver a seamless developer experience that can 10x an engineering team’s productivity.
In this session, Justin Reock, Deputy CTO at DX (getdx.com), will demonstrate that platform engineers are, in fact, product managers for their internal developer customers. By treating the platform as an internally delivered product, and holding it to the same standard and rollout as any product, teams significantly accelerate the successful adoption of developer experience and platform engineering initiatives.
Shoehorning dependency injection into a FP language, what does it take?Eric Torreborre
This talks shows why dependency injection is important and how to support it in a functional programming language like Unison where the only abstraction available is its effect system.
Config 2025 presentation recap covering both daysTrishAntoni1
Config 2025 What Made Config 2025 Special
Overflowing energy and creativity
Clear themes: accessibility, emotion, AI collaboration
A mix of tech innovation and raw human storytelling
(Background: a photo of the conference crowd or stage)
UiPath Agentic Automation: Community Developer OpportunitiesDianaGray10
Please join our UiPath Agentic: Community Developer session where we will review some of the opportunities that will be available this year for developers wanting to learn more about Agentic Automation.
GyrusAI - Broadcasting & Streaming Applications Driven by AI and MLGyrus AI
Gyrus AI: AI/ML for Broadcasting & Streaming
Gyrus is a Vision Al company developing Neural Network Accelerators and ready to deploy AI/ML Models for Video Processing and Video Analytics.
Our Solutions:
Intelligent Media Search
Semantic & contextual search for faster, smarter content discovery.
In-Scene Ad Placement
AI-powered ad insertion to maximize monetization and user experience.
Video Anonymization
Automatically masks sensitive content to ensure privacy compliance.
Vision Analytics
Real-time object detection and engagement tracking.
Why Gyrus AI?
We help media companies streamline operations, enhance media discovery, and stay competitive in the rapidly evolving broadcasting & streaming landscape.
🚀 Ready to Transform Your Media Workflow?
🔗 Visit Us: https://gyrus.ai/
📅 Book a Demo: https://gyrus.ai/contact
📝 Read More: https://gyrus.ai/blog/
🔗 Follow Us:
LinkedIn - https://www.linkedin.com/company/gyrusai/
Twitter/X - https://twitter.com/GyrusAI
YouTube - https://www.youtube.com/channel/UCk2GzLj6xp0A6Wqix1GWSkw
Facebook - https://www.facebook.com/GyrusAI
Transcript: Canadian book publishing: Insights from the latest salary survey ...BookNet Canada
Join us for a presentation in partnership with the Association of Canadian Publishers (ACP) as they share results from the recently conducted Canadian Book Publishing Industry Salary Survey. This comprehensive survey provides key insights into average salaries across departments, roles, and demographic metrics. Members of ACP’s Diversity and Inclusion Committee will join us to unpack what the findings mean in the context of justice, equity, diversity, and inclusion in the industry.
Results of the 2024 Canadian Book Publishing Industry Salary Survey: https://publishers.ca/wp-content/uploads/2025/04/ACP_Salary_Survey_FINAL-2.pdf
Link to presentation slides and transcript: https://bnctechforum.ca/sessions/canadian-book-publishing-insights-from-the-latest-salary-survey/
Presented by BookNet Canada and the Association of Canadian Publishers on May 1, 2025 with support from the Department of Canadian Heritage.
AI 3-in-1: Agents, RAG, and Local Models - Brent LasterAll Things Open
Presented at All Things Open RTP Meetup
Presented by Brent Laster - President & Lead Trainer, Tech Skills Transformations LLC
Talk Title: AI 3-in-1: Agents, RAG, and Local Models
Abstract:
Learning and understanding AI concepts is satisfying and rewarding, but the fun part is learning how to work with AI yourself. In this presentation, author, trainer, and experienced technologist Brent Laster will help you do both! We’ll explain why and how to run AI models locally, the basic ideas of agents and RAG, and show how to assemble a simple AI agent in Python that leverages RAG and uses a local model through Ollama.
No experience is needed on these technologies, although we do assume you do have a basic understanding of LLMs.
This will be a fast-paced, engaging mixture of presentations interspersed with code explanations and demos building up to the finished product – something you’ll be able to replicate yourself after the session!
Autonomous Resource Optimization: How AI is Solving the Overprovisioning Problem
In this session, Suresh Mathew will explore how autonomous AI is revolutionizing cloud resource management for DevOps, SRE, and Platform Engineering teams.
Traditional cloud infrastructure typically suffers from significant overprovisioning—a "better safe than sorry" approach that leads to wasted resources and inflated costs. This presentation will demonstrate how AI-powered autonomous systems are eliminating this problem through continuous, real-time optimization.
Key topics include:
Why manual and rule-based optimization approaches fall short in dynamic cloud environments
How machine learning predicts workload patterns to right-size resources before they're needed
Real-world implementation strategies that don't compromise reliability or performance
Featured case study: Learn how Palo Alto Networks implemented autonomous resource optimization to save $3.5M in cloud costs while maintaining strict performance SLAs across their global security infrastructure.
Bio:
Suresh Mathew is the CEO and Founder of Sedai, an autonomous cloud management platform. Previously, as Sr. MTS Architect at PayPal, he built an AI/ML platform that autonomously resolved performance and availability issues—executing over 2 million remediations annually and becoming the only system trusted to operate independently during peak holiday traffic.
In an era where ships are floating data centers and cybercriminals sail the digital seas, the maritime industry faces unprecedented cyber risks. This presentation, delivered by Mike Mingos during the launch ceremony of Optima Cyber, brings clarity to the evolving threat landscape in shipping — and presents a simple, powerful message: cybersecurity is not optional, it’s strategic.
Optima Cyber is a joint venture between:
• Optima Shipping Services, led by shipowner Dimitris Koukas,
• The Crime Lab, founded by former cybercrime head Manolis Sfakianakis,
• Panagiotis Pierros, security consultant and expert,
• and Tictac Cyber Security, led by Mike Mingos, providing the technical backbone and operational execution.
The event was honored by the presence of Greece’s Minister of Development, Mr. Takis Theodorikakos, signaling the importance of cybersecurity in national maritime competitiveness.
🎯 Key topics covered in the talk:
• Why cyberattacks are now the #1 non-physical threat to maritime operations
• How ransomware and downtime are costing the shipping industry millions
• The 3 essential pillars of maritime protection: Backup, Monitoring (EDR), and Compliance
• The role of managed services in ensuring 24/7 vigilance and recovery
• A real-world promise: “With us, the worst that can happen… is a one-hour delay”
Using a storytelling style inspired by Steve Jobs, the presentation avoids technical jargon and instead focuses on risk, continuity, and the peace of mind every shipping company deserves.
🌊 Whether you’re a shipowner, CIO, fleet operator, or maritime stakeholder, this talk will leave you with:
• A clear understanding of the stakes
• A simple roadmap to protect your fleet
• And a partner who understands your business
📌 Visit:
https://optima-cyber.com
https://tictac.gr
https://mikemingos.gr
RTP Over QUIC: An Interesting Opportunity Or Wasted Time?Lorenzo Miniero
Slides for my "RTP Over QUIC: An Interesting Opportunity Or Wasted Time?" presentation at the Kamailio World 2025 event.
They describe my efforts studying and prototyping QUIC and RTP Over QUIC (RoQ) in a new library called imquic, and some observations on what RoQ could be used for in the future, if anything.
Design pattern talk by Kaya Weers - 2025 (v2)Kaya Weers
Implementation of Pipe in Linux
1. Implementation of Pipe under C in Linux
Tushar B. Kute,
http://tusharkute.com
2. Pipe
• We use the term pipe to mean connecting a data flow
from one process to another.
• Generally you attach, or pipe, the output of one process
to the input of another.
• Most Linux users will already be familiar with the idea
of a pipeline, linking shell commands together so that
the output of one process is fed straight to the input of
another.
• For shell commands, this is done using the pipe
character to join the commands, such as
cmd1 | cmd2
3. Pipes in Commands
• The output of first command is given as
input to the second command.
• Examples:
– ls | wc
– who | sort
– cat file.txt | sort | wc
5. The pipe call
• The lower-level pipe function provides a means of passing
data between two programs, without the overhead of
invoking a shell to interpret the requested command. It also
gives you more control over the reading and writing of
data.
• The pipe function has the following prototype:
#include <unistd.h>
int pipe(int file_descriptor[2]);
• pipe is passed (a pointer to) an array of two integer file
descriptors. It fills the array with two new file descriptors
and returns a zero. On failure, it returns -1 and sets errno to
indicate the reason for failure.
6. File descriptors
• The two file descriptors returned are connected in a
special way.
• Any data written to file_descriptor[1] can be read
back from file_descriptor[0] . The data is processed
in a first in, first out basis, usually abbreviated to
FIFO.
• This means that if you write the bytes 1 , 2 , 3 to
file_descriptor[1] , reading from file_descriptor[0]
will produce 1 , 2 , 3 . This is different from a stack,
which operates on a last in, first out basis, usually
abbreviated to LIFO.
8. #include <unistd.h>
size_t write(int fildes, const void *buf,
size_t nbytes);
• It arranges for the first nbytes bytes from buf to be
written to the file associated with the file descriptor fildes.
• It returns the number of bytes actually written. This may
be less than nbytes if there has been an error in the file
descriptor. If the function returns 0, it means no data was
written; if it returns –1, there has been an error in the
write call.
The write system call
9. #include <unistd.h>
size_t read(int fildes, void *buf, size_t
nbytes);
• It reads up to nbytes bytes of data from the file associated
with the file descriptor fildes and places them in the data
area buf.
• It returns the number of data bytes actually read, which
may be less than the number requested. If a read call
returns 0, it had nothing to read; it reached the end of the
file. Again, an error on the call will cause it to return –1.
The read system call
15. • Implement using Pipe: Full duplex communication
between parent and child processes. Parent
process writes a pathname of a file (the contents of
the file are desired) on one pipe to be read by child
process and child process writes the contents of
the file on second pipe to be read by parent process
and displays on standard output.
Problem Statement
16. How to do it?
Pipe-1Write filename Read filename
Pipe-2
Read file contents
and print on screen
Put file contents
Open file and
Read contents
[1] [0]
[1][0]
20. [email protected]
Thank you
This presentation is created using LibreOffice Impress 4.2.7.2, can be used freely as per GNU General Public License
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