Computer and Network Performance Analysis with Queuing Systems

How do engineers ensure that web servers, databases, and network routers handle millions of requests without crashing? The secret lies in performance analysis, a discipline that combines mathematics and systems engineering to predict and prevent bottlenecks. This course introduces you to the core principles of computer and network performance evaluation using queuing systems. You will learn to transform complex hardware and network behaviors into structured mathematical models that help you make data-driven engineering decisions. Through clear, written explanations, you will explore how requests flow through systems, why queues form, and how to optimize resource allocation. What you will learn: • Understand foundational probability and queueing theory concepts essential for system analysis. • Analyze single-server and multi-server queuing models to predict waiting times and system throughput. • Model network traffic and server workloads using modern performance metrics. • Identify and resolve performance bottlenecks in distributed systems and cloud networks. • Apply capacity planning techniques to scale infrastructure efficiently before performance degrades. The course begins with essential terminology, basic probability concepts, and performance metrics, before guiding you step-by-step through queuing models and practical system analysis scenarios. This course is designed for beginner software engineers, system administrators, and network enthusiasts who want to understand performance modeling without needing advanced mathematical prerequisites. Start building faster, more reliable systems today.