Java performance and scalability

This book was written with one goal in mind: to provide Java programmers with the expertise needed to build efficient, scalable Java code. The author shares his experience in server-side performance tuning through measured performance assessments, called optimizations. Each optimization discusses te...

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Detalles Bibliográficos
Autor principal: Bulka, Dov (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Reading, Mass. : Addison-Wesley c2000-
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627287506719
Descripción
Sumario:This book was written with one goal in mind: to provide Java programmers with the expertise needed to build efficient, scalable Java code. The author shares his experience in server-side performance tuning through measured performance assessments, called optimizations. Each optimization discusses techniques to improve the performance and scalability of your code. Every claim is substantiated with hard numbers and an experience-based evaluation. Java™ Performance and Scalability, Volume 1, provides invaluable advice that you will, no doubt, find useful in your coding. Presented in 48 concise lessons that target the most common and critical performance pitfalls, this book offers a plethora of practical tips and solutions for boosting the performance of your programs. These lessons cover performance-critical areas such as memory management, garbage collection, caching, and multithreading. Specific lessons include: Reserving StringBuffer capacity Avoiding premature object creation Creating an efficient vector class Designing caching into your API The cost of synchronization Parallel subtasks JNI efficiency Varying the server workload and RMI network plumbing Using ServletOutputStream Caching JDBC™ connections In addition to providing hard numbers that quantify the optimizations, the author concludes the book with an application demonstrating the effectiveness of the performance optimizations. The exercise takes a typical program and increases its performance fourfold through a series of steps that tie together the lessons learned throughout the book. He offers both the means and the proof to better coding. 0201704293B04062001
Notas:Bibliographic Level Mode of Issuance: Monograph
Descripción Física:1 online resource (v. <1 > ) ill
Available also in a print edition
Bibliografía:Includes bibliographical references (v. 1, p. 277-279) and index.