Concurrency control | Transaction processing
In information technology and computer science, especially in the fields of computer programming, operating systems, multiprocessors, and databases, concurrency control ensures that correct results for concurrent operations are generated, while getting those results as quickly as possible. Computer systems, both software and hardware, consist of modules, or components. Each component is designed to operate correctly, i.e., to obey or to meet certain consistency rules. When components that operate concurrently interact by messaging or by sharing accessed data (in memory or storage), a certain component's consistency may be violated by another component. The general area of concurrency control provides rules, methods, design methodologies, and theories to maintain the consistency of components operating concurrently while interacting, and thus the consistency and correctness of the whole system. Introducing concurrency control into a system means applying operation constraints which typically result in some performance reduction. Operation consistency and correctness should be achieved with as good as possible efficiency, without reducing performance below reasonable levels. Concurrency control can require significant additional complexity and overhead in a concurrent algorithm compared to the simpler sequential algorithm. For example, a failure in concurrency control can result in data corruption from . (Wikipedia).
Fuzzy control of inverted pendulum
Fuzzy control of inverted pendulum, State-feedback controller is designed based on T-S fuzzy model with the consideration of system stability and performance.
From playlist Demonstrations
Everything You Need to Know About Control Theory
Control theory is a mathematical framework that gives us the tools to develop autonomous systems. Walk through all the different aspects of control theory that you need to know. Some of the concepts that are covered include: - The difference between open-loop and closed-loop control - How
From playlist Control Systems in Practice
What Is PID Control? | Understanding PID Control, Part 1
Chances are you’ve interacted with something that uses a form of this control law, even if you weren’t aware of it. That’s why it is worth learning a bit more about what this control law is, and how it helps. PID is just one form of feedback controller. It is the simplest type of contro
From playlist Understanding PID Control
Fuzzy control of inverted pendulum,
Fuzzy control of inverted pendulum, State-feedback controller is designed based on T-S fuzzy model with the consideration of system stability and performance. Details can be found in https://nms.kcl.ac.uk/hk.lam/HKLam/index.php/demonstrations
From playlist Demonstrations
Constraint Enforcement for Improved Safety | Learning-Based Control, Part 2
Learn about the constraints of your system and how you can enforce those constraints so the system does not violate them. In safety-critical applications, constraint enforcement ensures that any control action taken does not result in the system exceeding a safety bound. Constraint enforce
From playlist Learning-Based Control
Understanding Control Systems, Part 2: Feedback Control Systems
Explore introductory examples to learn about the basics of feedback control (closed-loop control) systems. Learn how feedback control is used to automate processes and discover how it deals with system variations and unexpected environmental changes. The examples utilize everyday applian
From playlist Understanding Control Systems
What Is Feedforward Control? | Control Systems in Practice
A control system has two main goals: get the system to track a setpoint, and reject disturbances. Feedback control is pretty powerful for this, but this video shows how feedforward control can make achieving those goals easier. Temperature Control in a Heat Exchange Example: http://bit.ly
From playlist Control Systems in Practice
Go Concurrency Tutorial | Go Concurrency Explained For Beginners | Golang Tutorial | Simplilearn
🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=GoConcurrencyTutorial-ZDNtUgWRDdk&utm_medium=DescriptionFF&utm_source=youtube 🔥Caltech Coding Bootcamp (US Only): https://www.simplile
From playlist Go Programming Language Tutorial | Golang Tutorial
Martin Odersky, "Working Hard to Keep It Simple" - OSCON Java 2011
Today's world of parallel and distributed computing poses hard new challenges for software development. A rapidly increasing number of developers now have to deal with races, deadlocks, non-determinism, and we are ill-equipped to do so. How can we keep things simple, in spite of the comple
From playlist OSCON 2011
Learning Clojure: Next Steps - Stuart Sierra
You can conj and assoc like a pro. You eat macros for breakfast. What's next? This talk will introduce some more advanced areas of Clojure to explore. Possible topics include: - Using the reader and printer - Creating new types that implement Clojure's interfaces - Building abstractions wi
From playlist Clojure, Lisp
RubyConf 2010 - Concurrency: Rubies, plural by: Eleanor McHugh, Elise Huard
For the last few years hardware manufacturers have driven increasingly powerful multi-core processors into consumer-grade computing hardware. Power which twenty years ago was restricted to a handful of government-funded research institutes is now available on the desktop, introducing many
From playlist RubyConf 2010
RailsConf 2012 Evented Ruby vs Node.js by Jerry Cheung
While Node.js is the hot new kid on the block, evented libraries like EventMachine for Ruby and Twisted for Python have existed for a long time. When does it make sense to use one over the other? What are the advantages and disadvantages to using node over ruby? In this talk, you will lear
From playlist Rails Conf 2012
🔥Golang Tutorial for Beginners 2022 | Golang Full Course for Beginners 2022 | Golang | Simplilearn
🔥Explore Our Free Courses: https://www.simplilearn.com/skillup/skillup-free-online-courses?utm_campaign=WhatIsGolang&utm_medium=Description&utm_source=youtube This video educates you about the most promising language Golang. This Golang tutorial will let you know about the history of Gola
From playlist Simplilearn Live
Is Software Development The Most Difficult Job ITW
Software development is difficult, why is that? If you are wondering “is software development right for me”, “is software development a good career”, or if a software development career is an easy one it probably depends on how you think about problems. You don’t need to be a genius to be
From playlist Teamwork and Leadership
Trio: Structured Concurrency for Python (Alternative to Asyncio)
Concurrency has a reputation for being complicated and hard to get right, even in Python. Fortunately, by using the "structured concurrency" programming model, it's possible to avoid many of the pitfalls inherent in more traditional thread-based and callback-based models. Trio is an async
From playlist Python
Lecture 12: Distributed Transactions
Lecture 12: Distributed Transactions MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/
From playlist MIT 6.824 Distributed Systems (Spring 2020)
Data-Driven Control: Change of Variables in Control Systems
In this lecture, we discuss how linear control systems transform under a change of coordinates in the state variable. This will be useful to derive balancing transformations that identify the most jointly controllable and observable states. https://www.eigensteve.com/
From playlist Data-Driven Control with Machine Learning