Erlang supervision trees helps bring fault tolerance, recovery and robustness to erlang applications. The presentation goes through basic and advanced examples along with supervision strategies.
ECET 360 help A Guide to career/Snaptutorialpinck2380
For more classes visit
www.snaptutorial.com
Advanced C Programming
You are required to study and understand the under lying concepts of advanced C used in the examples below. You are also required to compile and execute the programs and capture the output generated by each program
1. A Simple C program with more than one function (Parameters passed by value)
2. Basic concepts of Pointers in C
Erlang supervision trees helps bring fault tolerance, recovery and robustness to erlang applications. The presentation goes through basic and advanced examples along with supervision strategies.
ECET 360 help A Guide to career/Snaptutorialpinck2380
For more classes visit
www.snaptutorial.com
Advanced C Programming
You are required to study and understand the under lying concepts of advanced C used in the examples below. You are also required to compile and execute the programs and capture the output generated by each program
1. A Simple C program with more than one function (Parameters passed by value)
2. Basic concepts of Pointers in C
ECET 360 help A Guide to career/Snaptutorialpinck200
For more classes visit
www.snaptutorial.com
Advanced C Programming
You are required to study and understand the under lying concepts of advanced C used in the examples below. You are also required to compile and execute the programs and capture the output generated by each program
1. A Simple C program with more than one function (Parameters passed by value)
2. Basic concepts of Pointers in C
The following program demonstrates about the pointer variable, * and & operators.
3. Passing parameters to function by pointers
4. Using Structures in C
Advanced C Programming
You are required to study and understand the under lying concepts of advanced C used in the examples below. You are also required to compile and execute the programs and capture the output generated by each program
Ecet 360 Enthusiastic Study / snaptutorial.comStephenson34
Advanced C Programming
You are required to study and understand the under lying concepts of advanced C used in the examples below. You are also required to compile and execute the programs and capture the output generated by each program
1. A Simple C program with more than one function (Parameters passed by value)
2. Basic concepts of Pointers in C
Advanced C Programming
You are required to study and understand the under lying concepts of advanced C used in the examples below. You are also required to compile and execute the programs and capture the output generated by each program
1. A Simple C program with more than one function (Parameters passed by value)
2. Basic concepts of Pointers in C
The following program demonstrates about the pointer variable, * and & operators
Lab 3 of 7 Process Management Simulation L A B O V E R V I E W.docxfestockton
Lab 3 of 7: Process Management Simulation
L A B O V E R V I E W
Scenario/Summary
Process Management Simulation (Part 3 of 3)
The objective of this three section lab is to simulate four process management functions:
process creation, replacing the current process image with a new process image, process state transition,
and
process scheduling
.
This lab will be due over the first three weeks of this course. The commander process program is due in Week 1. This program will introduce the student to system calls and other basic operating system functions. The process manager functions
“
process creation
,
replacing the current process image with a new process image
and
process state transition
“
are due in Week 2. The scheduling section of the process manager is due in Week 3.
You will use Linux system calls such as fork( ), exec(), wait( ), pipe( ), and sleep( ). Read man pages of these system calls for details.
This simulation exercise consists of three processes running on a Linux environment:
commander
,
process manager
, and
reporter
. There is one commander process (this is the process that starts your simulation), one process manager process that is created by the commander process, and a number of reporter processes that get created by the process manager, as needed.
1. Commander Process:
The commander process first creates a pipe and then the process manager process. It then repeatedly reads commands from the standard input and passes them to the process manager process via the pipe. The commander process accepts four commands:
1.
Q
: End of one unit of time.
2.
U
: Unblock the first simulated process in blocked queue.
3.
P
: Print the current state of the system.
4.
T
: Print the average turnaround time, and terminate the system.
Command
T
can only be executed once.
1.1 Simulated Process:
Process management simulation manages the execution of simulated processes. Each simulated process is comprised of a program that manipulates the value of a single integer variable. Thus the state of a simulated process at any instant is comprised of the value of its integer variable and the value of its program counter.
A simulated process™ program consists of a sequence of instructions. There are seven types of instructions as follows:
1.
S
n: Set the value of the integer variable to n, where n is an integer.
2.
A
n: Add n to the value of the integer variable, where n is an integer.
3.
D
n: Subtract n from the value of the integer variable, where n is an integer.
4.
B
: Block this simulated process.
5.
E
: Terminate this simulated process.
6.
F
n: Create a new (simulated) process. The new (simulated) process is an exact copy of the parent (simulated) process. The new (simulated) process executes from the instruction immediately after this (
F
) instruction, while the parent (simulated) process continues its execution n instructions after the next instruction.
7.
R
filename: Replace the program of .
EPHPC Webinar
Unit Testing
Merangkak Menuju Pengembangan Aplikasi PHP yang Berkualitas dan Tahan Banting.
Date: Wednesday, April 6, 2011
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Optimal Selection of Software Reliability Growth Model-A StudyIJEEE
People use software and sometime software fails.so they try to quantify software reliability and try to understand how and why it fails.For this purpose so many software Reliability models have been developed to estimate the defects in the software while delivering it to the customer.Till now so many software Reliability models have been developed,but main issue is that it remain largely unsolved that how to calculate software reliability efficiently.In everycircumstance we cannotuse one model because no single model can completely represent all features.This paper describes the circumstances and criteria under which particular model can be selected.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
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Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
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Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
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In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
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See My Other Reviews Article:
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AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
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AI Pilot Review: Key Features
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
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Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
2. Erlang/OTP high-level coordination
Concurrency built-in:
readily support 10,000 processes per core,
and transparent distribution of processes
across multiple machines,
using message passing for communication.
3. Erlang distribution model
The robustness of the Erlang is provided
by hierarchies of supervision processes
which manage recovery from software or hardware errors.
4. The standard Erlang/OTP behaviours are:
● Gen_server For implementing the server of a client-server relation
● Gen_statem For implementing state machines
● Gen_event For implementing event handling functionality
● Supervisor For implementing a supervisor in a supervision tree
5. Supervisor ->Use for controlling
Let the process die and correct the error
in some other process.
Remote detection and handling of errors.
Child process restarting rate after crash.
6. Supervisor’s raw structure is a MAP(sincev18)
{ #{ strategy => RestartStrategy,
intensity => MaxRestart ,
timeout => MaxTime},
[#{child_specs}]
}.
7. Supervisor structure : strategy
To prevent a supervisor from getting into an infinite loop
of child process terminations and restarts,
a maximum restart intensity is defined.
Assuming the values
MaxR for intensity (defaults =1 )
and MaxT for period (defaults =5).
If more than MaxR times of restarts occur within MaxT seconds,
the supervisor terminates all child processes and then itself.
8. Supervisor structure : strategy
one_for_one -> this is the default restart strategy.
one_for_all ->
rest_for_one ->
simple_one_for_one ->
9. Child specifications
The child specification can be described in a more abstract form as:
{ ChildId,
StartFunc,
Restart,
Shutdown,
Type,
Modules}.
11. Child specifications : ChildId
The ChildId is just an internal name
used by the supervisor internally.
Any term can be used for the Id.
12. Child specifications: Restart strategy
restart defines when a terminated child process is to be restarted.
● A permanent child process is always restarted.
● A temporary child process is never restarted
(not even when the supervisor restart strategy is rest_for_one or one_for_all
and a sibling death causes the temporary process to be terminated).
● A transient child process is restarted only if it terminates abnormally
that is, with an exit reason other than normal, shutdown,
or {shutdown,Term}.
13. Child specifications : Restart order
When the supervisor is started, the child processes are started
in order from left to right according to this list.
When the supervisor terminates, it first terminates its child processes
in reversed start order, from right to left.
-> and then terminates itself.
14. Child specifications : Start Function
StartFunc is a tuple that tells how to start the child.
standard {M,F,A} format we've used a few times already.
USE ALWAYS gen_*:start_link() wrapped in your own module.
15. Child specifications : Shutdown
The Shutdown value used to give a deadline on the termination.
When a supervisor gets the shutdown signal,
it will forward it to its own children the same way.
When the top-level supervisor is asked to terminate, it calls
exit(ChildPid, shutdown) on each of the Pids.
If the child is a worker and trapping exits, it'll call its own terminate function.
Otherwise, it's just going to die.
16. Child specifications : Shutdown
Note is important : for simple_one_for_one strategy
With this behaviour , children are not respecting this rule
with the Shutdown time.
The supervisor will just exit ,
and it will be left to each of the workers to terminate on their own,
after their supervisor is gone.
17. Child specifications : Type
Type simply lets the supervisor know whether the child
is a worker or a supervisor.
This will be important when upgrading applications
with more advanced OTP features.
18. Child specifications : Module
Modules is a list of one element,
the name of the callback module used by the child behavior.
19. Child specifications : Module
The exception to that is when you have callback modules
whose identity you do not know beforehand
(such as event handlers in an event manager).
In this case, the value of Modules should be dynamic,
so that the whole OTP system knows who to contact
when using more advanced features, such as releases.
20. Behaviours
= formalizations of common patterns.
Divide a process code into
1/ a generic part (a behaviour module)
2/ and a specific part (a callback module).
24. Restart strategies : one_for_all ->
If one child process terminates and is to be restarted,
all other child processes are terminated
and then all child processes are restarted.
26. Restart strategies : rest_for_one ->
●
If one child process terminates and is to be restarted,
the 'rest' of the child processes are terminated.
(a dependency between processes according to their booting order.
if a child process dies, only those booted after it are killed.
Processes are then restarted as expected.)
28. Restart strategies :simple_one_for_one
A simplified one_for_one supervisor, where all child processes are
dynamically added instances of the same process,
that is, running the same code template .
(same type=WORKER and same frequency of restart & shutdown timeout).
With this strategy, no workers are started during the supervisor initialization.
Instead, a worker is started manually via the
supervisor:start_child/2 function.
29. Restart strategies :simple_one_for_one
–Robert Virding rvirding explained:
You must define the child spec as it is used for all children
and you do not give it when starting a child.
In all other cases you do not need to give it as you must explicitly give a child
spec when you call supervisor:start_child/2.
The supervisor will automatically start the children with child specs returned in
the init/1 callback.
You can then add children using supervisor:start_child/2.
33. Example : Supervisor with gen_FSM
Creates a gen_fsm process as part of a supervision tree.
The function should be called, directly or indirectly, by the supervisor.
It will, among other things, ensure that the gen_fsm is linked to the supervisor.
34. Initialization : Worker descr
start_link(BirdName) ->
gen_fsm:start_link({local, BirdName}, ?MODULE, [BirdName], []).
init(Ms) ->
process_flag(trap_exit, true),
% % default state of worker set to GROWWING
{ok, growing, Ms}.