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Real-Time Application Development: Low-Latency Programming for Performance-Critical Systems - Tapa blanda

Libro 4 de 4: Step-by-Step Linux Programming

Jones, Gabriel

 
9798172054402: Real-Time Application Development: Low-Latency Programming for Performance-Critical Systems

Sinopsis

Real-Time Application Development: Low-Latency Programming for Performance-Critical Systems

In modern software engineering, speed is often prioritized over predictability. But for performance-critical systems, delivering the correct answer a fraction of a second too late is indistinguishable from delivering the wrong answer entirely. Welcome to the rigorous discipline of low-latency, real-time application development.

This comprehensive guide bridges the gap between high-level software abstractions and the physical realities of computer hardware. It is written for backend developers, systems architects, and software engineers who need to build infrastructure that reacts to external events within strict, microsecond-level timing constraints. Whether you are building high-throughput trading platforms, multiplayer gaming servers, industrial robotics controls, or telecommunications switches, the principles of deterministic execution remain the same.

You will discover why techniques considered best practices in general web development are actively destructive in low-latency environments. Through layered reasoning across the application code, the operating system kernel, and the CPU microarchitecture, this book provides an evidence-based roadmap to completely eliminating jitter and optimizing tail latency.

Inside, you will learn how to:

  • Define concrete latency budgets and translate vague business requirements into mathematically provable temporal constraints.

  • Implement architecture patterns that eradicate contention, utilizing event-driven pipelines and lock-free concurrency models.

  • Write deterministic code by bounding execution paths, avoiding dynamic memory allocation, and bypassing unpredictable language runtimes.

  • Achieve perfect mechanical sympathy by organizing data structures for optimal L1 and L2 CPU cache utilization and mitigating false sharing.

  • Isolate execution threads, bypass the operating system scheduler, and silence kernel noise to secure uncontested processor ownership.

  • Measure performance empirically using hardware performance counters, direct timestamping, and open-loop load testing to expose coordinated omission.


Stop guessing why your application is experiencing unpredictable latency spikes. Master the mechanics of the operating system and the processor silicon, and start engineering software that executes with unwavering, mathematical precision.

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