of Celery (4.0). For development docs, go here. ## Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and Copyright $ \copyright $ 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike

## +23 ## Distributed Ranges: A Model for Building Distributed Data Structures, Algorithms, and Views ## BENJAMIN BROCK ## Notices and Disclaimers For notices, disclaimers, and details about performance 33cc9ed6c477/p6_1.jpg) ## Project Goals - Offer high-level, standard C++ distributed data structures - Support distributed algorithms Achieve high performance for both multi-GPU, NUMA, and multi-node 477/p7_1.jpg) ## Outline - Background (Ranges, Parallelism, Distributed Data Structures) - Distributed Ranges (Concepts) - Implementation (Algorithms and views) - Complex Data Structures

This document describes Celery 2.3. For development docs, go here. ## Celery - Distributed Task Queue Contents: • Getting Started Introduction ○ Broker Installation ○ First steps with Celery. ○ X • First steps with Celery • Creating a simple task • Configuration • Running the celery worker server • Executing the task • Where to go from here • Resources • Getting Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed Celery is an open source asynchronous task queue/job queue based on distributed message passing

This document describes Celery 2.4. For development docs, go here. ## Celery - Distributed Task Queue Contents: • Getting Started • Introduction • Brokers • First steps with Celery • Choosing your Broker • Creating a simple task • Configuration • Running the celery worker server • Executing the task • Where to go from here • Resources • Getting Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed Celery is an open source asynchronous task queue/job queue based on distributed message passing

## Using MySQL for Distributed Database Architectures Peter Zaitsev CEO, Percona PingCAP Infra Meetup, Shanghai, China, May 26, 2018 ## About Percona Solutions for your success with MySQL, MariaDB, Internet companies and enterprises ## Presentation ## Cover Basics ## Why Going Distributed ## How to do it ## Distributed ? ## MySQL Deployment on More than one System ## Modern MySQL Scalability ![ 28.000.000 Daily Active Users Possible 15M of Daily Active Users counting time of day skew ## Distributed Systems Tend To be More Complicated to Develop Against More Complicated to Operate ## Have Additional

## +24 ## Multi Producer, Multi Consumer, Lock Free, Atomic Queue User API and Implementation ... ## EREZ STRAUSS ## Lockfree, MPMC Queue - Legal All Statements and representations are my own and do MPMC Queue - Agenda 1. Trading Platform, Latency 2. Queues Environment 3. Queues Requirement 4. Atomic hardware and C++ Atomic 5. Queues Classification 6. Queue creation, push, pop 7. Queue internals internals 8. Testing 9. Performance - Benchmarking ## Lockfree, MPMC Queue - Background Trading platform - every message is tracked, at microseconds resolution - Queues are essential data structure used

## 67 -328 Building Distributed Applications WebSockets ### HTTP / AJAX / WebSockets / Socket.io • Recall that HTTP is request/response protocol • AJAX allows you to do HTTP request/response within

## +23 ### BehaviorTree.CPP: Task Planning for Robots and Virtual Agents ## DAVIDE FACONTI ## 20 23 October 01 - 06 ## What you will learn today 1. What Behavior Trees are 2. About the C++ library robotics has been (informally) Component Based Software Engineering - Multi-process and multi-nodes, distributed systems. • Lot of inter-process communication. • Publish-Subscribe, Request-Reply. - Each node ments/8/d/b/6/8db662e9d441565a9dd326035c73ae34/p7_1.jpg) ## Robot Behaviors This Coordinator or Task Planner is also the highest level of abstraction of our system, where we focus on WHAT the robot does

## +21 ## PGAS in C++: A Portable Abstraction for Distributed Data Structures ## BENJAMIN BROCK 20 21 October 24-29 ## About Me - PhD candidate at Berkeley - Advised by Kathy Yelick and Aydın Buluç program for a supercomputer? Introduce PGAS Model, RDMA Building Remote Pointer Types Building Distributed Data Structures Extending to GPUs This Talk Background: how do we write a program for a supercomputer supercomputer? Introduce PGAS Model, RDMA Building Remote Pointer Types Building Distributed Data Structures Extending to GPUs This Talk Background: how do we write a program for a supercomputer

## +24 ## Work Contracts Rethinking Task Based Concurrency and Parallelism for Low Latency C++ MICHAEL A MANISCALCO ### “We cannot solve our problems with the same thinking we used when we created them So what is there to Rethink? ## Rethinking: Task Queues  ## Problem #1 - Task Queues Do Not Scale Well: • Contention: ☐ problems: ☐ Task starvation ☐ Load balancing ☐ Forfeits strict FIFO behaviour ○ Increases memory footprint (or requires allocations) ☐ Terrible task selection "fairness" ## Rethinking: Task Queues