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

Product type Paperback

Published in Jul 2023

Publisher Packt

ISBN-13 9781837639359

Length 506 pages

Edition 1st Edition

Languages

C++

Concepts

Programming Language

Author (1):

Sourav Ghosh

View More author details

Table of Contents (19) Chapters

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

Why subscribe?

18. Other Books You May Enjoy

Discussing the design of IoT and retail analytics systems

In the previous chapter, we discussed IoT and retail analytics and many of the different use cases that they create. Our focus in this section will be to have a brief discussion about the technologies being used to achieve low latency performance for these applications and use cases. Note that IoT is a technology space that is still actively growing and evolving, so there are going to be a lot of breakthroughs and advancements in the coming years. Let us quickly recap some important use cases of IoT and retail data analytics. A lot of these new applications and future possibilities are fueled by the research and advancements in 5G wireless technology, edge computing, and artificial intelligence (AI). We will look at those aspects in the next section, along with other technologies that facilitate applications using low latency IoT and retail data analytics.

A lot of applications fall under the remote inspection/analysis category...