The Effective Structured Data Marshalling - Demarshalling Through Boost.Fusion

Explore a conference talk from CppNow that delves into effective structured data marshalling and demarshalling techniques using Boost.Fusion for high-performance web services. Learn how Yandex, a major Russian internet company, optimizes its e-mail backend service by addressing data handling challenges. Discover generic solutions for marshalling and demarshalling structured data, including instances of structures, STL containers, and classes. Examine the implementation based on the Boost.Fusion framework, its limitations, and proposed optimizations. Gain insights into key performance-enhancing strategies such as minimizing data copying, eliminating hidden synchronization, implementing asynchronous interfaces, and employing stream-like processing. Understand how these techniques impact CPU usage, memory consumption, parallelism, and overall system performance in the context of large-scale web services.

Introduction
Service Architecture
Real Story
Example
C Library
Problem
Free alternatives
Disadvantages
What we want
Full Solution
Novice Structure
Research Subjects
Pirate Stack Overflow
BoostFusion
BoostFusion Macro
BoostFusion Documentation
How it works
User
Tags
Recap
Customization
Competition
Competitors
Benchmark
Model
Architecture
Results
Latency
CPU Consumption
Memory Consumption
Line of Code
Questions