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Building Low Latency Applications with C++

You're reading from   Building Low Latency Applications with C++ Develop a complete low latency trading ecosystem from scratch using modern C++

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781837639359
Length 506 pages
Edition 1st Edition
Languages
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Author (1):
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Sourav Ghosh Sourav Ghosh
Author Profile Icon Sourav Ghosh
Sourav Ghosh
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Table of Contents (19) Chapters Close

Preface 1. Part 1:Introducing C++ Concepts and Exploring Important Low-Latency Applications
2. Chapter 1: Introducing Low Latency Application Development in C++ FREE CHAPTER 3. Chapter 2: Designing Some Common Low Latency Applications in C++ 4. Chapter 3: Exploring C++ Concepts from A Low-Latency Application’s Perspective 5. Chapter 4: Building the C++ Building Blocks for Low Latency Applications 6. Part 2:Building a Live Trading Exchange in C++
7. Chapter 5: Designing Our Trading Ecosystem 8. Chapter 6: Building the C++ Matching Engine 9. Chapter 7: Communicating with Market Participants 10. Part 3:Building Real-Time C++ Algorithmic Trading Systems
11. Chapter 8: Processing Market Data and Sending Orders to the Exchange in C++ 12. Chapter 9: Building the C++ Trading Algorithm’s Building Blocks 13. Chapter 10: Building the C++ Market Making and Liquidity Taking Algorithms 14. Part 4:Analyzing and Improving Performance
15. Chapter 11: Adding Instrumentation and Measuring Performance 16. Chapter 12: Analyzing and Optimizing the Performance of Our C++ System 17. Index 18. Other Books You May Enjoy

Transferring data using lock-free queues

In the C++ threading for multi-threaded low latency applications section, we hinted that one possible application of having multiple threads is to set up a pipelined system. Here, one component thread performs part of the processing and forwards the results to the next stage of the pipeline for further processing. We will be using such a design in our electronic trading system, but there’ll be more on that later.

Communicating between threads and processes

There are a lot of options when it comes to transferring data between processes and/or threads. Inter-Process Communication (IPC), such as mutexes, semaphores, signals, memory-mapped files, and shared memory, can be used for these purposes. It also gets tricky when there is concurrent access to shared data and the important requirement is to avoid data corruption. Another important requirement is to make sure that the reader and writer have consistent views of the shared data...

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