Software Performance and Scalability / Quantitative Software Engineering Series Bd.1 (PDF)

Praise from the Reviewers:

"The practicality of the subject in a real-world situation
distinguishes this book from others available on the market."

--Professor Behrouz Far, University of Calgary

"This book could replace the computer organization texts now in
use that every CS and CpE student must take. . . . It is much
needed, well written, and thoughtful."

--Professor Larry Bernstein, Stevens Institute of
Technology

A distinctive, educational text onsoftware performance and
scalability

This is the first book to take a quantitative approach to the
subject of software performance and scalability. It brings together
three unique perspectives to demonstrate how your products can be
optimized and tuned for the best possible performance and
scalability:

* The Basics--introduces the computer hardware and
software architectures that predetermine the performance and
scalability of a software product as well as the principles of
measuring the performance and scalability of a software
product

* Queuing Theory--helps you learn the performance
laws and queuing models for interpreting the underlying physics
behind software performance and scalability, supplemented with
ready-to-apply techniques for improving the performance and
scalability of a software system

* API Profiling--shows you how to design more
efficient algorithms and achieve optimized performance and
scalability, aided by adopting an API profiling framework
(perfBasic) built on the concept of a performance map for drilling
down performance root causes at the API level

Software Performance and Scalability gives you a
specialized skill set that will enable you to design and build
performance into your products with immediate, measurable
improvements. Complemented with real-world case studies, it is an
indispensable resource for software developers, quality and
performance assurance engineers, architects, and managers. It is
anideal text for university courses related to computer and
software performance evaluation and can also be used to supplement
a course in computer organization or in queuing theory for
upper-division and graduate computer science students.