Henry H. Liu

Java is one of the most popular programming languages for developing software applications, especially cloud computing, big data analytics, and various commonly used enterprise applications. Applications in these areas require high performance and scalability, driving unprecedented high demands for skills in Java concurrent programming. Whether you are a beginner or an experienced Java developer, it is desirable to keep sharpening your Java programming skills with a systematic understanding of the power and flexibility that the modern Java concurrent programming frameworks offer. This book attempts to provide an easier entry into Java concurrent programming for those who are passionate about programming, especially for those who are motivated and determined to develop high-performance and scalable Java software. Specifically, this book covers the following subjects: * Chapter 1 Multithreaded Programming in Java* Chapter 2 Java ExecutorService Framework* Chapter 3 Java Collections Framework* Chapter 4 Atomic Operations* Chapter 5 Locks* Chapter 6 Synchronizers* Chapter 7 Synchronized Collections* Chapter 8 Parallel Programming Using the Fork-Join Framework* Appendix A Algorithm Analysis* Appendix B The Bridge ExerciseTo minimize the possibilities of any kind of misperceptions and misunderstandings, this text emphasizes understanding how various classes are actually implemented internally, accompanied with carefully-crafted examples. A great additional benefit out of this approach is that it gives all of us an opportunity to appreciate how those masters coded all of those classes that we use every day for our Java concurrent programming tasks. This book will not only enhance your Java concurrent programming skills specifically but also Java programming skills in general. In addition, you will learn how to judge properly on whether threads are running normally or in an undesirable livelock or starvation or deadlock situation

This book adopts a unique approach to helping software developers and CS students learn Spring frameworks fast. Rather than filled with disjointed, piecemeal samples to show Spring features one at a time, it uses a single, functioning, end-to-end integrated sample named SOBA (Secure Online Banking Application) to help you learn Spring systematically. To give you total flexibility, SOBA runs on a comprehensive set of combined platforms, such as the OS platforms of Windows, Linux and Mac OS, the Java App Server platforms of Tomcat, GlassFish, JBoss and WebLogic, and the RDBMS platforms of MySQL, PostgreSQL, Oracle and SQL Server. The book has evolved three major Spring releases since 2012. It has been used by many Java developers, training vendors and colleges to teach themselves or their students the innovative way of developing software with Spring frameworks. Specifically, this book helps you learn the following latest Spring technologies: *Spring Core Framework *Spring MVC Web Framework *Spring Data Access Framework (JDBC, JPA and Hibernate) *Spring RESTful Web Services Framework *Spring Security Framework *Spring Transaction Management Framework *Spring Validation Framework *Spring Aspect Oriented Programming (AOP) Framework *Spring Testing *Spring Integration with EJB *Spring Web Flow Framework After working through this text, you will gain a complete set of knowledge and skills for developing Spring-based enterprise applications through all tiers of the Web front tier, app mid-tier and database backend tier. You will be inspired for developing software from many aspects.

This textbook adopts a unique approach to helping developers and CS students learn Hadoop MapReduce programming fast. Rather than filled with disjointed, piecemeal code snippets to show Hadoop MapReduce programming features one at a time, it is designed to place your total Hadoop MapReduce programming learning process in a common application context of mining customer spending patterns ensconced in large volumes of credit card transaction record data. Precise, end-to-end procedures are given to help you set up your Hadoop MapReduce development environment quickly on Eclipse with Maven on Mac OS X. Step-by-step procedures are also given on how to set up a four-node Linux cluster at minimum so that you can run your MapReduce programs not only in local mode on your Mac OS X machine but also in fully distributed mode on a real cluster. In fact, all MapReduce programs presented in the book have been tested and verified in local mode and on such a Linux cluster. This textbook mainly focuses on teaching Hadoop MapReduce programming in a scientific, objective, quantitative approach. Rather than heavily relying on subjective, verbose (and sometimes even pompous) textual descriptions with sparse code snippets, this textbook uses Hadoop Java APIs, Hadoop configuration parameters, complete MapReduce programs and their execution logs and outputs to demonstrate how Hadoop MapReduce framework works and how to write MapReduce programs. Specifically, this text covers the following subjects: *Introduction to Hadoop *Setting up a Linux Hadoop Cluster *The Hadoop Distributed FileSystem *MapReduce Job Orchestration and Workflows *Basic MapReduce Programming *Advanced MapReduce Programming *Hadoop Streaming *Hadoop Administration No matter what role you play on your team, this text can help you gain truly applicable Hadoop skills in a most effective and efficient manner. The book can also be used as a supplementary textbook for a distributed computing or Hadoop course offered to upper-division college CS students.

The innovative performance and scalability features with each newer edition of the Oracle database system can present challenges for users. This book teaches software developers and students how to effectively deal with Oracle performance and scalability issues throughout the entire life cycle of developing Oracle-based applications. Using real-world case studies to deliver key theories and concepts, the book introduces highly dependable and ready-to-apply performance and scalability optimization techniques, augmented with Top 10 Oracle Performance and Scalability Features as well as a supplementary support website.

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.